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git-svn-id: svn://svn.mplayerhq.hu/mplayer/trunk@19620 b3059339-0415-0410-9bf9-f77b7e298cf2
910 lines
38 KiB
C
910 lines
38 KiB
C
/*
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Copyright 2005 Robert Edele.
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e-mail: yartrebo@earthlink.net
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This program is free software; you can redistribute it and/or modify it
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under the terms of the GNU General Public License as published by the Free
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Software Foundation; either version 2 of the License, or (at your option)
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any later version.
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This program is distributed in the hope that it will be useful, but
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WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
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or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Public License for more
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details.
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You should have reveived a copy of the GNU General Public License
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along with this program; if not, write to the
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Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA
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02110-1301 USA
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__________________________________________________________________________
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| Robert Edele Fri. 4-Feb-2005 |
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| This program loads a .pgm mask file showing where a logo is and uses |
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| a blur transform to remove the logo. |
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|________________________________________________________________________|
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*/
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/**
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* \file vf_remove_logo.c
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*
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* \brief Advanced blur-based logo removing filter.
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* Hello and welcome. This code implements a filter to remove annoying TV
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* logos and other annoying images placed onto a video stream. It works by filling
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* in the pixels that comprise the logo with neighboring pixels. The transform is
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* very loosely based on a gaussian blur, but it is different enough to merit its
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* own paragraph later on. It is a major improvement on the old delogo filter as
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* it both uses a better blurring algorithm and uses a bitmap to use an arbitrary
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* and generally much tighter fitting shape than a rectangle.
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*
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* The filter requires 1 argument and has no optional arguments. It requires
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* a filter bitmap, which must be in PGM or PPM format. A sample invocation would
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* be -vf remove_logo=/home/username/logo_bitmaps/xyz.pgm. Pixels with a value of
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* zero are not part of the logo, and non-zero pixels are part of the logo. If you
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* use white (255) for the logo and black (0) for the rest, you will be safe. For
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* making the filter bitmap, I recommend taking a screen capture of a black frame
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* with the logo visible, and then using The GIMP's threshold filter followed by
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* the erode filter once or twice. If needed, little splotches can be fixed
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* manually. Remember that if logo pixels are not covered, the filter quality will
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* be much reduced. Marking too many pixels as part of the logo doesn't hurt as
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* much, but it will increase the amount of blurring needed to cover over the
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* image and will destroy more information than necessary. Additionally, this blur
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* algorithm is O(n) = n^4, where n is the width and height of a hypothetical
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* square logo, so extra pixels will slow things down on a large lo
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*
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* The logo removal algorithm has two key points. The first is that it
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* distinguishes between pixels in the logo and those not in the logo by using the
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* passed-in bitmap. Pixels not in the logo are copied over directly without being
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* modified and they also serve as source pixels for the logo fill-in. Pixels
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* inside the logo have the mask applied.
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*
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* At init-time the bitmap is reprocessed internally, and the distance to the
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* nearest edge of the logo (Manhattan distance), along with a little extra to
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* remove rough edges, is stored in each pixel. This is done using an in-place
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* erosion algorithm, and incrementing each pixel that survives any given erosion.
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* Once every pixel is eroded, the maximum value is recorded, and a set of masks
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* from size 0 to this size are generaged. The masks are circular binary masks,
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* where each pixel within a radius N (where N is the size of the mask) is a 1,
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* and all other pixels are a 0. Although a gaussian mask would be more
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* mathematically accurate, a binary mask works better in practice because we
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* generally do not use the central pixels in the mask (because they are in the
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* logo region), and thus a gaussian mask will cause too little blur and thus a
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* very unstable image.
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*
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* The mask is applied in a special way. Namely, only pixels in the mask that
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* line up to pixels outside the logo are used. The dynamic mask size means that
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* the mask is just big enough so that the edges touch pixels outside the logo, so
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* the blurring is kept to a minimum and at least the first boundary condition is
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* met (that the image function itself is continuous), even if the second boundary
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* condition (that the derivative of the image function is continuous) is not met.
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* A masking algorithm that does preserve the second boundary coundition
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* (perhaps something based on a highly-modified bi-cubic algorithm) should offer
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* even better results on paper, but the noise in a typical TV signal should make
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* anything based on derivatives hopelessly noisy.
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*/
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#include <stdio.h>
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#include <stdlib.h>
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#include <string.h>
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#include <ctype.h>
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#include <inttypes.h>
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#include "config.h"
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#include "mp_msg.h"
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#include "libvo/fastmemcpy.h"
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#include "img_format.h"
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#include "mp_image.h"
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#include "vf.h"
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//===========================================================================//
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/** \brief Returns the larger of the two arguments. **/
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#define max(x,y) ((x)>(y)?(x):(y))
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/** \brief Returns the smaller of the two arguments. **/
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#define min(x,y) ((x)>(y)?(y):(x))
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/**
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* \brief Test if a pixel is part of the logo.
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*/
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#define test_filter(image, x, y) ((unsigned char) (image->pixel[((y) * image->width) + (x)]))
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/**
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* \brief Chooses a slightly larger mask size to improve performance.
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*
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* This function maps the absolute minimum mask size needed to the mask size we'll
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* actually use. f(x) = x (the smallest that will work) will produce the sharpest
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* results, but will be quite jittery. f(x) = 1.25x (what I'm using) is a good
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* tradeoff in my opinion. This will calculate only at init-time, so you can put a
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* long expression here without effecting performance.
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*/
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#define apply_mask_fudge_factor(x) (((x) >> 2) + x)
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/**
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* \brief Simple implementation of the PGM image format.
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*
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* This struct holds a bare-bones image loaded from a PGM or PPM file. Once
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* loaded and pre-processed, each pixel in this struct will contain how far from
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* the edge of the logo each pixel is, using the manhattan distance (|dx| + |dy|).
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*
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* pixels in char * pixel can be addressed using (y * width) + height.
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*/
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typedef struct
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{
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unsigned int width;
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unsigned int height;
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unsigned char * pixel;
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} pgm_structure;
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/**
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* \brief Stores persistant variables.
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*
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* Variables stored here are kept from frame to frame, and seperate instances of
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* the filter will get their own seperate copies.
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*/
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typedef struct
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{
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unsigned int fmt; /* Not exactly sure of the use for this. It came with the example filter I used as a basis for this, and it looks like a lot of stuff will break if I remove it. */
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int max_mask_size; /* The largest possible mask size that will be needed with the given filter and corresponding half_size_filter. The half_size_filter can have a larger requirment in some rare (but not degenerate) cases. */
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int * * * mask; /* Stores our collection of masks. The first * is for an array of masks, the second for the y axis, and the third for the x axis. */
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pgm_structure * filter; /* Stores the full-size filter image. This is used to tell what pixels are in the logo or not in the luma plane. */
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pgm_structure * half_size_filter; /* Stores a 50% width and 50% height filter image. This is used to tell what pixels are in the logo or not in the chroma planes. */
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/* These 8 variables store the bounding rectangles that the logo resides in. */
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int bounding_rectangle_posx1;
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int bounding_rectangle_posy1;
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int bounding_rectangle_posx2;
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int bounding_rectangle_posy2;
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int bounding_rectangle_half_size_posx1;
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int bounding_rectangle_half_size_posy1;
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int bounding_rectangle_half_size_posx2;
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int bounding_rectangle_half_size_posy2;
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} vf_priv_s;
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/**
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* \brief Mallocs memory and checks to make sure it succeeded.
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*
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* \param size How many bytes to allocate.
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*
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* \return A pointer to the freshly allocated memory block, or NULL on failutre.
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*
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* Mallocs memory, and checks to make sure it was successfully allocated. Because
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* of how MPlayer works, it cannot safely halt execution, but at least the user
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* will get an error message before the segfault happens.
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*/
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static void * safe_malloc(int size)
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{
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void * answer = malloc(size);
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if (answer == NULL)
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mp_msg(MSGT_VFILTER, MSGL_ERR, "Unable to allocate memory in vf_remove_logo.c\n");
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return answer;
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}
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/**
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* \brief Calculates the smallest rectangle that will encompass the logo region.
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*
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* \param filter This image contains the logo around which the rectangle will
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* will be fitted.
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*
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* The bounding rectangle is calculated by testing successive lines (from the four
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* sides of the rectangle) until no more can be removed without removing logo
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* pixels. The results are returned by reference to posx1, posy1, posx2, and
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* posy2.
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*/
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static void calculate_bounding_rectangle(int * posx1, int * posy1, int * posx2, int * posy2, pgm_structure * filter)
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{
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int x; /* Temporary variables to run */
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int y; /* through each row or column. */
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int start_x;
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int start_y;
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int end_x = filter->width - 1;
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int end_y = filter->height - 1;
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int did_we_find_a_logo_pixel = 0;
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/* Let's find the top bound first. */
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for (start_x = 0; start_x < filter->width && !did_we_find_a_logo_pixel; start_x++)
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{
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for (y = 0; y < filter->height; y++)
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{
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did_we_find_a_logo_pixel |= test_filter(filter, start_x, y);
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}
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}
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start_x--;
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/* Now the bottom bound. */
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did_we_find_a_logo_pixel = 0;
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for (end_x = filter->width - 1; end_x > start_x && !did_we_find_a_logo_pixel; end_x--)
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{
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for (y = 0; y < filter->height; y++)
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{
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did_we_find_a_logo_pixel |= test_filter(filter, end_x, y);
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}
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}
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end_x++;
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/* Left bound. */
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did_we_find_a_logo_pixel = 0;
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for (start_y = 0; start_y < filter->height && !did_we_find_a_logo_pixel; start_y++)
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{
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for (x = 0; x < filter->width; x++)
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{
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did_we_find_a_logo_pixel |= test_filter(filter, x, start_y);
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}
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}
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start_y--;
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/* Right bound. */
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did_we_find_a_logo_pixel = 0;
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for (end_y = filter->height - 1; end_y > start_y && !did_we_find_a_logo_pixel; end_y--)
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{
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for (x = 0; x < filter->width; x++)
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{
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did_we_find_a_logo_pixel |= test_filter(filter, x, end_y);
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}
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}
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end_y++;
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*posx1 = start_x;
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*posy1 = start_y;
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*posx2 = end_x;
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*posy2 = end_y;
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return;
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}
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/**
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* \brief Free mask memory.
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*
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* \param vf Data structure which stores our persistant data, and is to be freed.
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*
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* We call this function when our filter is done. It will free the memory
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* allocated to the masks and leave the variables in a safe state.
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*/
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static void destroy_masks(vf_instance_t * vf)
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{
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int a, b;
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/* Load values from the vf->priv struct for faster dereferencing. */
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int * * * mask = ((vf_priv_s *)vf->priv)->mask;
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int max_mask_size = ((vf_priv_s *)vf->priv)->max_mask_size;
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if (mask == NULL)
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return; /* Nothing allocated, so return before we segfault. */
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/* Free all allocated memory. */
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for (a = 0; a <= max_mask_size; a++) /* Loop through each mask. */
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{
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for (b = -a; b <= a; b++) /* Loop through each scanline in a mask. */
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{
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free(mask[a][b + a]); /* Free a scanline. */
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}
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free(mask[a]); /* Free a mask. */
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}
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free(mask); /* Free the array of pointers pointing to the masks. */
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/* Set the pointer to NULL, so that any duplicate calls to this function will not cause a crash. */
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((vf_priv_s *)vf->priv)->mask = NULL;
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return;
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}
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/**
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* \brief Set up our array of masks.
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*
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* \param vf Where our filter stores persistance data, like these masks.
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*
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* This creates an array of progressively larger masks and calculates their
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* values. The values will not change during program execution once this function
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* is done.
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*/
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static void initialize_masks(vf_instance_t * vf)
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{
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int a, b, c;
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/* Load values from the vf->priv struct for faster dereferencing. */
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int * * * mask = ((vf_priv_s *)vf->priv)->mask;
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int max_mask_size = ((vf_priv_s *)vf->priv)->max_mask_size; /* This tells us how many masks we'll need to generate. */
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/* Create a circular mask for each size up to max_mask_size. When the filter is applied, the mask size is
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determined on a pixel by pixel basis, with pixels nearer the edge of the logo getting smaller mask sizes. */
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mask = (int * * *) safe_malloc(sizeof(int * *) * (max_mask_size + 1));
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for (a = 0; a <= max_mask_size; a++)
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{
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mask[a] = (int * *) safe_malloc(sizeof(int *) * ((a * 2) + 1));
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for (b = -a; b <= a; b++)
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{
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mask[a][b + a] = (int *) safe_malloc(sizeof(int) * ((a * 2) + 1));
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for (c = -a; c <= a; c++)
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{
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if ((b * b) + (c * c) <= (a * a)) /* Circular 0/1 mask. */
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mask[a][b + a][c + a] = 1;
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else
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mask[a][b + a][c + a] = 0;
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}
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}
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}
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/* Store values back to vf->priv so they aren't lost after the function returns. */
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((vf_priv_s *)vf->priv)->mask = mask;
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return;
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}
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/**
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* \brief Pre-processes an image to give distance information.
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*
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* \param vf Data structure that holds persistant information. All it is used for
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in this function is to store the calculated max_mask_size variable.
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* \param mask This image will be converted from a greyscale image into a
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* distance image.
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*
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* This function takes a greyscale image (pgm_structure * mask) and converts it
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* in place into a distance image. A distance image is zero for pixels ourside of
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* the logo and is the manhattan distance (|dx| + |dy|) for pixels inside of the
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* logo. This will overestimate the distance, but that is safe, and is far easier
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* to implement than a proper pythagorean distance since I'm using a modified
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* erosion algorithm to compute the distances.
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*/
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static void convert_mask_to_strength_mask(vf_instance_t * vf, pgm_structure * mask)
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{
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int x, y; /* Used by our for loops to go through every single pixel in the picture one at a time. */
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int has_anything_changed = 1; /* Used by the main while() loop to know if anything changed on the last erosion. */
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int current_pass = 0; /* How many times we've gone through the loop. Used in the in-place erosion algorithm
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and to get us max_mask_size later on. */
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int max_mask_size; /* This will record how large a mask the pixel that is the furthest from the edge of the logo
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(and thus the neediest) is. */
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char * current_pixel = mask->pixel; /* This stores the actual pixel data. */
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/* First pass, set all non-zero values to 1. After this loop finishes, the data should be considered numeric
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data for the filter, not color data. */
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for (x = 0; x < mask->height * mask->width; x++, current_pixel++)
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if(*current_pixel) *current_pixel = 1;
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/* Second pass and future passes. For each pass, if a pixel is itself the same value as the current pass,
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and its four neighbors are too, then it is incremented. If no pixels are incremented by the end of the pass,
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then we go again. Edge pixels are counted as always excluded (this should be true anyway for any sane mask,
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but if it isn't this will ensure that we eventually exit). */
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while (has_anything_changed)
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{
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current_pass++;
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current_pixel = mask->pixel;
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has_anything_changed = 0; /* If this doesn't get set by the end of this pass, then we're done. */
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for (y = 1; y < mask->height - 1; y++)
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{
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for (x = 1; x < mask->width - 1; x++)
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{
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/* Apply the in-place erosion transform. It is based on the following two premises: 1 - Any pixel that fails 1 erosion
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will fail all future erosions. 2 - Only pixels having survived all erosions up to the present will be >= to
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current_pass. It doesn't matter if it survived the current pass, failed it, or hasn't been tested yet. */
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if (*current_pixel >= current_pass && /* By using >= instead of ==, we allow the algorithm to work in place. */
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*(current_pixel + 1) >= current_pass &&
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*(current_pixel - 1) >= current_pass &&
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*(current_pixel + mask->width) >= current_pass &&
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*(current_pixel - mask->width) >= current_pass)
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{
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(*current_pixel)++; /* Increment the value since it still has not been eroded, as evidenced by the if statement
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that just evaluated to true. */
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has_anything_changed = 1;
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}
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current_pixel++;
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}
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}
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}
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/* Apply the fudge factor, which will increase the size of the mask a little to reduce jitter at the cost of more blur. */
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for (y = 1; y < mask->height - 1; y++)
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{
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for (x = 1; x < mask->width - 1; x++)
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{
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mask->pixel[(y * mask->width) + x] = apply_mask_fudge_factor(mask->pixel[(y * mask->width) + x]);
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}
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}
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max_mask_size = current_pass + 1; /* As a side-effect, we now know the maximum mask size, which we'll use to generate our masks. */
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max_mask_size = apply_mask_fudge_factor(max_mask_size); /* Apply the fudge factor to this number too, since we must
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ensure that enough masks are generated. */
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((vf_priv_s *)vf->priv)->max_mask_size = max_mask_size; /* Commit the newly calculated max_mask_size to the vf->priv struct. */
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return;
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}
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/**
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* \brief Our blurring function.
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*
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* \param vf Stores persistant data. In this function we are interested in the
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* array of masks.
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* \param value_out The properly blurred and delogoed pixel is outputted here.
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* \param logo_mask Tells us which pixels are in the logo and which aren't.
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* \param image The image that is having its logo removed.
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* \param x x-coordinate of the pixel to blur.
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* \param y y-coordinate of the pixel to blur.
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* \param plane 0 = luma, 1 = blue chroma, 2 = red chroma (YUV).
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*
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* This function is the core of the filter. It takes a pixel that is inside the
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* logo and blurs it. It does so by finding the average of all the pixels within
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* the mask and outside of the logo.
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*/
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static void get_blur(const vf_instance_t * const vf, unsigned int * const value_out, const pgm_structure * const logo_mask,
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const mp_image_t * const image, const int x, const int y, const int plane)
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{
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int mask_size; /* Mask size tells how large a circle to use. The radius is about (slightly larger than) mask size. */
|
|
/* Get values from vf->priv for faster dereferencing. */
|
|
int * * * mask = ((vf_priv_s *)vf->priv)->mask;
|
|
|
|
int start_posx, start_posy, end_posx, end_posy;
|
|
int i, j;
|
|
unsigned int accumulator = 0, divisor = 0;
|
|
const unsigned char * mask_read_position; /* What pixel we are reading out of the circular blur mask. */
|
|
const unsigned char * logo_mask_read_position; /* What pixel we are reading out of the filter image. */
|
|
|
|
/* Prepare our bounding rectangle and clip it if need be. */
|
|
mask_size = test_filter(logo_mask, x, y);
|
|
start_posx = max(0, x - mask_size);
|
|
start_posy = max(0, y - mask_size);
|
|
end_posx = min(image->width - 1, x + mask_size);
|
|
end_posy = min(image->height - 1, y + mask_size);
|
|
|
|
mask_read_position = image->planes[plane] + (image->stride[plane] * start_posy) + start_posx;
|
|
logo_mask_read_position = logo_mask->pixel + (start_posy * logo_mask->width) + start_posx;
|
|
|
|
for (j = start_posy; j <= end_posy; j++)
|
|
{
|
|
for (i = start_posx; i <= end_posx; i++)
|
|
{
|
|
if (!(*logo_mask_read_position) && mask[mask_size][i - start_posx][j - start_posy])
|
|
{ /* Check to see if this pixel is in the logo or not. Only use the pixel if it is not. */
|
|
accumulator += *mask_read_position;
|
|
divisor++;
|
|
}
|
|
|
|
mask_read_position++;
|
|
logo_mask_read_position++;
|
|
}
|
|
|
|
mask_read_position += (image->stride[plane] - ((end_posx + 1) - start_posx));
|
|
logo_mask_read_position += (logo_mask->width - ((end_posx + 1) - start_posx));
|
|
}
|
|
|
|
if (divisor == 0) /* This means that not a single pixel is outside of the logo, so we have no data. */
|
|
{ /* We should put some eye catching value here, to indicate the flaw to the user. */
|
|
*value_out = 255;
|
|
}
|
|
else /* Else we need to normalise the data using the divisor. */
|
|
{
|
|
*value_out = (accumulator + (divisor / 2)) / divisor; /* Divide, taking into account average rounding error. */
|
|
}
|
|
|
|
return;
|
|
}
|
|
|
|
/**
|
|
* \brief Free a pgm_structure. Undoes load_pgm(...).
|
|
*/
|
|
static void destroy_pgm(pgm_structure * to_be_destroyed)
|
|
{
|
|
if (to_be_destroyed == NULL)
|
|
return; /* Don't do anything if a NULL pointer was passed it. */
|
|
|
|
/* Internally allocated memory. */
|
|
if (to_be_destroyed->pixel != NULL)
|
|
{
|
|
free(to_be_destroyed->pixel);
|
|
to_be_destroyed->pixel = NULL;
|
|
}
|
|
|
|
/* Free the actual struct instance. This is done here and not by the calling function. */
|
|
free(to_be_destroyed);
|
|
}
|
|
|
|
/** \brief Helper function for load_pgm(...) to skip whitespace. */
|
|
static void load_pgm_skip(FILE *f) {
|
|
int c, comment = 0;
|
|
do {
|
|
c = fgetc(f);
|
|
if (c == '#')
|
|
comment = 1;
|
|
if (c == '\n')
|
|
comment = 0;
|
|
} while (c != EOF && (isspace(c) || comment));
|
|
ungetc(c, f);
|
|
}
|
|
|
|
#define REMOVE_LOGO_LOAD_PGM_ERROR_MESSAGE(message) {mp_msg(MSGT_VFILTER, MSGL_ERR, message); return NULL;}
|
|
|
|
/**
|
|
* \brief Loads a raw pgm or ppm file into a newly created pgm_structure object.
|
|
*
|
|
* \param file_name The name of the file to be loaded. So long as the file is a
|
|
* valid pgm or ppm file, it will load correctly, even if the
|
|
* extension is missing or invalid.
|
|
*
|
|
* \return A pointer to the newly created pgm_structure object. Don't forget to
|
|
* call destroy_pgm(...) when you're done with this. If an error occurs,
|
|
* NULL is returned.
|
|
*
|
|
* Can load either raw pgm (P5) or raw ppm (P6) image files as a binary image.
|
|
* While a pgm file will be loaded normally (greyscale), the only thing that is
|
|
* guaranteed with ppm is that all zero (R = 0, G = 0, B = 0) pixels will remain
|
|
* zero, and non-zero pixels will remain non-zero.
|
|
*/
|
|
static pgm_structure * load_pgm(const char * file_name)
|
|
{
|
|
int maximum_greyscale_value;
|
|
FILE * input;
|
|
int pnm_number;
|
|
pgm_structure * new_pgm = (pgm_structure *) safe_malloc (sizeof(pgm_structure));
|
|
char * write_position;
|
|
char * end_position;
|
|
int image_size; /* width * height */
|
|
|
|
if((input = fopen(file_name, "rb")) == NULL) REMOVE_LOGO_LOAD_PGM_ERROR_MESSAGE("[vf]remove-logo: Unable to open file. File not found or insufficient permissions.\n");
|
|
|
|
/* Parse the PGM header. */
|
|
if (fgetc(input) != 'P') REMOVE_LOGO_LOAD_PGM_ERROR_MESSAGE("[vf]remove-logo: File is not a valid PGM or PPM file.\n");
|
|
pnm_number = fgetc(input) - '0';
|
|
if (pnm_number != 5 && pnm_number != 6) REMOVE_LOGO_LOAD_PGM_ERROR_MESSAGE("[vf]remove-logo: Invalid PNM file. Only raw PGM (Portable Gray Map) and raw PPM (Portable Pixel Map) subtypes are allowed.\n");
|
|
load_pgm_skip(input);
|
|
if (fscanf(input, "%i", &(new_pgm->width)) != 1) REMOVE_LOGO_LOAD_PGM_ERROR_MESSAGE("[vf]remove-logo: Invalid PGM/PPM header.\n");
|
|
load_pgm_skip(input);
|
|
if (fscanf(input, "%i", &(new_pgm->height)) != 1) REMOVE_LOGO_LOAD_PGM_ERROR_MESSAGE("[vf]remove-logo: Invalid PGM/PPM header.\n");
|
|
load_pgm_skip(input);
|
|
if (fscanf(input, "%i", &maximum_greyscale_value) != 1) REMOVE_LOGO_LOAD_PGM_ERROR_MESSAGE("[vf]remove-logo: Invalid PGM/PPM header.\n");
|
|
if (maximum_greyscale_value >= 256) REMOVE_LOGO_LOAD_PGM_ERROR_MESSAGE("[vf]remove_logo: Only 1 byte per pixel (pgm) or 1 byte per color value (ppm) are supported.\n");
|
|
load_pgm_skip(input);
|
|
|
|
new_pgm->pixel = (unsigned char *) safe_malloc (sizeof(unsigned char) * new_pgm->width * new_pgm->height);
|
|
|
|
/* Load the pixels. */
|
|
/* Note: I am aware that fgetc(input) isn't the fastest way of doing things, but it is quite compact and the code only runs once when the filter is initialized.*/
|
|
image_size = new_pgm->width * new_pgm->height;
|
|
end_position = new_pgm->pixel + image_size;
|
|
for (write_position = new_pgm->pixel; write_position < end_position; write_position++)
|
|
{
|
|
*write_position = fgetc(input);
|
|
if (pnm_number == 6) /* This tests to see if the file is a PPM file. */
|
|
{ /* If it is, then consider the pixel set if any of the three color channels are set. Since we just care about == 0 or != 0, a bitwise or will do the trick. */
|
|
*write_position |= fgetc(input);
|
|
*write_position |= fgetc(input);
|
|
}
|
|
}
|
|
|
|
return new_pgm;
|
|
}
|
|
|
|
/**
|
|
* \brief Generates a scaled down image with half width, height, and intensity.
|
|
*
|
|
* \param vf Our struct for persistant data. In this case, it is used to update
|
|
* mask_max_size with the larger of the old or new value.
|
|
* \param input_image The image from which the new half-sized one will be based.
|
|
*
|
|
* \return The newly allocated and shrunken image.
|
|
*
|
|
* This function not only scales down an image, but halves the value in each pixel
|
|
* too. The purpose of this is to produce a chroma filter image out of a luma
|
|
* filter image. The pixel values store the distance to the edge of the logo and
|
|
* halving the dimensions halves the distance. This function rounds up, because
|
|
* a downwards rounding error could cause the filter to fail, but an upwards
|
|
* rounding error will only cause a minor amount of excess blur in the chroma
|
|
* planes.
|
|
*/
|
|
static pgm_structure * generate_half_size_image(vf_instance_t * vf, pgm_structure * input_image)
|
|
{
|
|
int x, y;
|
|
pgm_structure * new_pgm = (pgm_structure *) safe_malloc (sizeof(pgm_structure));
|
|
int has_anything_changed = 1;
|
|
int current_pass;
|
|
int max_mask_size;
|
|
char * current_pixel;
|
|
|
|
new_pgm->width = input_image->width / 2;
|
|
new_pgm->height = input_image->height / 2;
|
|
new_pgm->pixel = (unsigned char *) safe_malloc (sizeof(unsigned char) * new_pgm->width * new_pgm->height);
|
|
|
|
/* Copy over the image data, using the average of 4 pixels for to calculate each downsampled pixel. */
|
|
for (y = 0; y < new_pgm->height; y++)
|
|
for (x = 0; x < new_pgm->width; x++)
|
|
{
|
|
/* Set the pixel if there exists a non-zero value in the source pixels, else clear it. */
|
|
new_pgm->pixel[(y * new_pgm->width) + x] = input_image->pixel[((y << 1) * input_image->width) + (x << 1)] ||
|
|
input_image->pixel[((y << 1) * input_image->width) + (x << 1) + 1] ||
|
|
input_image->pixel[(((y << 1) + 1) * input_image->width) + (x << 1)] ||
|
|
input_image->pixel[(((y << 1) + 1) * input_image->width) + (x << 1) + 1];
|
|
new_pgm->pixel[(y * new_pgm->width) + x] = min(1, new_pgm->pixel[(y * new_pgm->width) + x]);
|
|
}
|
|
|
|
/* Now we need to recalculate the numbers for the smaller size. Just using the old_value / 2 can cause subtle
|
|
and fairly rare, but very nasty, bugs. */
|
|
|
|
current_pixel = new_pgm->pixel;
|
|
/* First pass, set all non-zero values to 1. */
|
|
for (x = 0; x < new_pgm->height * new_pgm->width; x++, current_pixel++)
|
|
if(*current_pixel) *current_pixel = 1;
|
|
|
|
/* Second pass and future passes. For each pass, if a pixel is itself the same value as the current pass,
|
|
and its four neighbors are too, then it is incremented. If no pixels are incremented by the end of the pass,
|
|
then we go again. Edge pixels are counted as always excluded (this should be true anyway for any sane mask,
|
|
but if it isn't this will ensure that we eventually exit). */
|
|
current_pass = 0;
|
|
while (has_anything_changed)
|
|
{
|
|
current_pass++;
|
|
|
|
has_anything_changed = 0; /* If this doesn't get set by the end of this pass, then we're done. */
|
|
|
|
for (y = 1; y < new_pgm->height - 1; y++)
|
|
{
|
|
for (x = 1; x < new_pgm->width - 1; x++)
|
|
{
|
|
if (new_pgm->pixel[(y * new_pgm->width) + x] >= current_pass && /* By using >= instead of ==, we allow the algorithm to work in place. */
|
|
new_pgm->pixel[(y * new_pgm->width) + (x + 1)] >= current_pass &&
|
|
new_pgm->pixel[(y * new_pgm->width) + (x - 1)] >= current_pass &&
|
|
new_pgm->pixel[((y + 1) * new_pgm->width) + x] >= current_pass &&
|
|
new_pgm->pixel[((y - 1) * new_pgm->width) + x] >= current_pass)
|
|
{
|
|
new_pgm->pixel[(y * new_pgm->width) + x]++; /* Increment the value since it still has not been eroded,
|
|
as evidenced by the if statement that just evaluated to true. */
|
|
has_anything_changed = 1;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
for (y = 1; y < new_pgm->height - 1; y++)
|
|
{
|
|
for (x = 1; x < new_pgm->width - 1; x++)
|
|
{
|
|
new_pgm->pixel[(y * new_pgm->width) + x] = apply_mask_fudge_factor(new_pgm->pixel[(y * new_pgm->width) + x]);
|
|
}
|
|
}
|
|
|
|
max_mask_size = current_pass + 1; /* As a side-effect, we now know the maximum mask size, which we'll use to generate our masks. */
|
|
max_mask_size = apply_mask_fudge_factor(max_mask_size);
|
|
/* Commit the newly calculated max_mask_size to the vf->priv struct. */
|
|
((vf_priv_s *)vf->priv)->max_mask_size = max(max_mask_size, ((vf_priv_s *)vf->priv)->max_mask_size);
|
|
|
|
return new_pgm;
|
|
}
|
|
|
|
/**
|
|
* \brief Checks if YV12 is supported by the next filter.
|
|
*/
|
|
static unsigned int find_best(struct vf_instance_s* vf){
|
|
int is_format_okay = vf->next->query_format(vf->next, IMGFMT_YV12);
|
|
if ((is_format_okay & VFCAP_CSP_SUPPORTED_BY_HW) || (is_format_okay & VFCAP_CSP_SUPPORTED))
|
|
return IMGFMT_YV12;
|
|
else
|
|
return 0;
|
|
}
|
|
|
|
//===========================================================================//
|
|
|
|
/**
|
|
* \brief Configure the filter and call the next filter's config function.
|
|
*/
|
|
static int config(struct vf_instance_s* vf, int width, int height, int d_width, int d_height, unsigned int flags, unsigned int outfmt)
|
|
{
|
|
if(!(((vf_priv_s *)vf->priv)->fmt=find_best(vf)))
|
|
return 0;
|
|
else
|
|
return vf_next_config(vf,width,height,d_width,d_height,flags,((vf_priv_s *)vf->priv)->fmt);
|
|
}
|
|
|
|
/**
|
|
* \brief Removes the logo from a plane (either luma or chroma).
|
|
*
|
|
* \param vf Not needed by this function, but needed by the blur function.
|
|
* \param source The image to have it's logo removed.
|
|
* \param destination Where the output image will be stored.
|
|
* \param source_stride How far apart (in memory) two consecutive lines are.
|
|
* \param destination Same as source_stride, but for the destination image.
|
|
* \param width Width of the image. This is the same for source and destination.
|
|
* \param height Height of the image. This is the same for source and destination.
|
|
* \param is_image_direct If the image is direct, then source and destination are
|
|
* the same and we can save a lot of time by not copying pixels that
|
|
* haven't changed.
|
|
* \param filter The image that stores the distance to the edge of the logo for
|
|
* each pixel.
|
|
* \param logo_start_x Smallest x-coordinate that contains at least 1 logo pixel.
|
|
* \param logo_start_y Smallest y-coordinate that contains at least 1 logo pixel.
|
|
* \param logo_end_x Largest x-coordinate that contains at least 1 logo pixel.
|
|
* \param logo_end_y Largest y-coordinate that contains at least 1 logo pixel.
|
|
*
|
|
* This function processes an entire plane. Pixels outside of the logo are copied
|
|
* to the output without change, and pixels inside the logo have the de-blurring
|
|
* function applied.
|
|
*/
|
|
static void convert_yv12(const vf_instance_t * const vf, const char * const source, const int source_stride,
|
|
const mp_image_t * const source_image, const int width, const int height,
|
|
char * const destination, const int destination_stride, int is_image_direct, pgm_structure * filter,
|
|
const int plane, const int logo_start_x, const int logo_start_y, const int logo_end_x, const int logo_end_y)
|
|
{
|
|
int y;
|
|
int x;
|
|
|
|
/* These pointers point to where we are getting our pixel data (inside mpi) and where we are storing it (inside dmpi). */
|
|
const unsigned char * source_line;
|
|
unsigned char * destination_line;
|
|
|
|
if (!is_image_direct)
|
|
memcpy_pic(destination, source, width, height, destination_stride, source_stride);
|
|
|
|
for (y = logo_start_y; y <= logo_end_y; y++)
|
|
{
|
|
source_line = (const unsigned char *) source + (source_stride * y);
|
|
destination_line = (unsigned char *) destination + (destination_stride * y);
|
|
|
|
for (x = logo_start_x; x <= logo_end_x; x++)
|
|
{
|
|
unsigned int output;
|
|
|
|
if (filter->pixel[(y * filter->width) + x]) /* Only process if we are in the logo. */
|
|
{
|
|
get_blur(vf, &output, filter, source_image, x, y, plane);
|
|
destination_line[x] = output;
|
|
}
|
|
else /* Else just copy the data. */
|
|
if (!is_image_direct)
|
|
destination_line[x] = source_line[x];
|
|
}
|
|
}
|
|
}
|
|
|
|
/**
|
|
* \brief Process a frame.
|
|
*
|
|
* \param mpi The image sent to use by the previous filter.
|
|
* \param dmpi Where we will store the processed output image.
|
|
* \param vf This is how the filter gets access to it's persistant data.
|
|
*
|
|
* \return The return code of the next filter, or 0 on failure/error.
|
|
*
|
|
* This function processes an entire frame. The frame is sent by the previous
|
|
* filter, has the logo removed by the filter, and is then sent to the next
|
|
* filter.
|
|
*/
|
|
static int put_image(struct vf_instance_s* vf, mp_image_t *mpi, double pts){
|
|
mp_image_t *dmpi;
|
|
|
|
dmpi=vf_get_image(vf->next,((vf_priv_s *)vf->priv)->fmt,
|
|
MP_IMGTYPE_TEMP, MP_IMGFLAG_ACCEPT_STRIDE,
|
|
mpi->w, mpi->h);
|
|
|
|
/* Check to make sure that the filter image and the video stream are the same size. */
|
|
if ((((vf_priv_s *)vf->priv)->filter->width != mpi->w) || (((vf_priv_s *)vf->priv)->filter->height != mpi->h))
|
|
{
|
|
mp_msg(MSGT_VFILTER,MSGL_ERR, "Filter image and video stream are not of the same size. (Filter: %d x %d, Stream: %d x %d)\n",
|
|
((vf_priv_s *)vf->priv)->filter->width, ((vf_priv_s *)vf->priv)->filter->height, mpi->w, mpi->h);
|
|
return 0;
|
|
}
|
|
|
|
switch(dmpi->imgfmt){
|
|
case IMGFMT_YV12:
|
|
convert_yv12(vf, mpi->planes[0], mpi->stride[0], mpi, mpi->w, mpi->h,
|
|
dmpi->planes[0], dmpi->stride[0],
|
|
mpi->flags & MP_IMGFLAG_DIRECT, ((vf_priv_s *)vf->priv)->filter, 0,
|
|
((vf_priv_s *)vf->priv)->bounding_rectangle_posx1, ((vf_priv_s *)vf->priv)->bounding_rectangle_posy1,
|
|
((vf_priv_s *)vf->priv)->bounding_rectangle_posx2, ((vf_priv_s *)vf->priv)->bounding_rectangle_posy2);
|
|
convert_yv12(vf, mpi->planes[1], mpi->stride[1], mpi, mpi->w / 2, mpi->h / 2,
|
|
dmpi->planes[1], dmpi->stride[1],
|
|
mpi->flags & MP_IMGFLAG_DIRECT, ((vf_priv_s *)vf->priv)->half_size_filter, 1,
|
|
((vf_priv_s *)vf->priv)->bounding_rectangle_half_size_posx1, ((vf_priv_s *)vf->priv)->bounding_rectangle_half_size_posy1,
|
|
((vf_priv_s *)vf->priv)->bounding_rectangle_half_size_posx2, ((vf_priv_s *)vf->priv)->bounding_rectangle_half_size_posy2);
|
|
convert_yv12(vf, mpi->planes[2], mpi->stride[2], mpi, mpi->w / 2, mpi->h / 2,
|
|
dmpi->planes[2], dmpi->stride[2],
|
|
mpi->flags & MP_IMGFLAG_DIRECT, ((vf_priv_s *)vf->priv)->half_size_filter, 2,
|
|
((vf_priv_s *)vf->priv)->bounding_rectangle_half_size_posx1, ((vf_priv_s *)vf->priv)->bounding_rectangle_half_size_posy1,
|
|
((vf_priv_s *)vf->priv)->bounding_rectangle_half_size_posx2, ((vf_priv_s *)vf->priv)->bounding_rectangle_half_size_posy2);
|
|
break;
|
|
|
|
default:
|
|
mp_msg(MSGT_VFILTER,MSGL_ERR,"Unhandled format: 0x%X\n",dmpi->imgfmt);
|
|
return 0;
|
|
}
|
|
|
|
return vf_next_put_image(vf,dmpi, pts);
|
|
}
|
|
|
|
//===========================================================================//
|
|
|
|
/**
|
|
* \brief Checks to see if the next filter accepts YV12 images.
|
|
*/
|
|
static int query_format(struct vf_instance_s * vf, unsigned int fmt)
|
|
{
|
|
if (fmt == IMGFMT_YV12)
|
|
return vf->next->query_format(vf->next, IMGFMT_YV12);
|
|
else
|
|
return 0;
|
|
}
|
|
|
|
/**
|
|
* \brief Initializes our filter.
|
|
*
|
|
* \param args The arguments passed in from the command line go here. This
|
|
* filter expects only a single argument telling it where the PGM
|
|
* or PPM file that describes the logo region is.
|
|
*
|
|
* This sets up our instance variables and parses the arguments to the filter.
|
|
*/
|
|
static int open(vf_instance_t * vf, char * args)
|
|
{
|
|
vf->priv = safe_malloc(sizeof(vf_priv_s));
|
|
|
|
/* Load our filter image. */
|
|
if (args)
|
|
((vf_priv_s *)vf->priv)->filter = load_pgm(args);
|
|
else
|
|
{
|
|
mp_msg(MSGT_VFILTER, MSGL_ERR, "[vf]remove_logo usage: remove_logo=/path/to/filter_image_file.pgm\n");
|
|
free(vf->priv);
|
|
return 0;
|
|
}
|
|
|
|
if (((vf_priv_s *)vf->priv)->filter == NULL)
|
|
{
|
|
/* Error message was displayed by load_pgm(). */
|
|
free(vf->priv);
|
|
return 0;
|
|
}
|
|
|
|
/* Create the scaled down filter image for the chroma planes. */
|
|
convert_mask_to_strength_mask(vf, ((vf_priv_s *)vf->priv)->filter);
|
|
((vf_priv_s *)vf->priv)->half_size_filter = generate_half_size_image(vf, ((vf_priv_s *)vf->priv)->filter);
|
|
|
|
/* Now that we know how many masks we need (the info is in vf), we can generate the masks. */
|
|
initialize_masks(vf);
|
|
|
|
/* Calculate our bounding rectangles, which determine in what region the logo resides for faster processing. */
|
|
calculate_bounding_rectangle(&((vf_priv_s *)vf->priv)->bounding_rectangle_posx1, &((vf_priv_s *)vf->priv)->bounding_rectangle_posy1,
|
|
&((vf_priv_s *)vf->priv)->bounding_rectangle_posx2, &((vf_priv_s *)vf->priv)->bounding_rectangle_posy2,
|
|
((vf_priv_s *)vf->priv)->filter);
|
|
calculate_bounding_rectangle(&((vf_priv_s *)vf->priv)->bounding_rectangle_half_size_posx1,
|
|
&((vf_priv_s *)vf->priv)->bounding_rectangle_half_size_posy1,
|
|
&((vf_priv_s *)vf->priv)->bounding_rectangle_half_size_posx2,
|
|
&((vf_priv_s *)vf->priv)->bounding_rectangle_half_size_posy2,
|
|
((vf_priv_s *)vf->priv)->half_size_filter);
|
|
|
|
vf->config=config;
|
|
vf->put_image=put_image;
|
|
vf->query_format=query_format;
|
|
return 1;
|
|
}
|
|
|
|
/**
|
|
* \brief Frees memory that our filter allocated.
|
|
*
|
|
* This is called at exit-time.
|
|
*/
|
|
void uninit(vf_instance_t * vf)
|
|
{
|
|
/* Destroy our masks and images. */
|
|
destroy_pgm(((vf_priv_s *)vf->priv)->filter);
|
|
destroy_pgm(((vf_priv_s *)vf->priv)->half_size_filter);
|
|
destroy_masks(vf);
|
|
|
|
/* Destroy our private structure that had been used to store those masks and images. */
|
|
free(vf->priv);
|
|
|
|
return;
|
|
}
|
|
|
|
/**
|
|
* \brief Meta data about our filter.
|
|
*/
|
|
vf_info_t vf_info_remove_logo = {
|
|
"Removes a tv logo based on a mask image.",
|
|
"remove-logo",
|
|
"Robert Edele",
|
|
"",
|
|
open,
|
|
NULL
|
|
};
|
|
|
|
//===========================================================================//
|