FFmpeg coverage

Line	Branch	Exec	Source
1			/*
2			* Copyright (c) 2005 Robert Edele <yartrebo@earthlink.net>
3			* Copyright (c) 2012 Stefano Sabatini
4			*
5			* This file is part of FFmpeg.
6			*
7			* FFmpeg is free software; you can redistribute it and/or
8			* modify it under the terms of the GNU Lesser General Public
9			* License as published by the Free Software Foundation; either
10			* version 2.1 of the License, or (at your option) any later version.
11			*
12			* FFmpeg is distributed in the hope that it will be useful,
13			* but WITHOUT ANY WARRANTY; without even the implied warranty of
14			* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
15			* Lesser General Public License for more details.
16			*
17			* You should have received a copy of the GNU Lesser General Public
18			* License along with FFmpeg; if not, write to the Free Software
19			* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
20			*/
21
22			/**
23			* @file
24			* Advanced blur-based logo removing filter
25			*
26			* This filter loads an image mask file showing where a logo is and
27			* uses a blur transform to remove the logo.
28			*
29			* Based on the libmpcodecs remove-logo filter by Robert Edele.
30			*/
31
32			/**
33			* This code implements a filter to remove annoying TV logos and other annoying
34			* images placed onto a video stream. It works by filling in the pixels that
35			* comprise the logo with neighboring pixels. The transform is very loosely
36			* based on a gaussian blur, but it is different enough to merit its own
37			* paragraph later on. It is a major improvement on the old delogo filter as it
38			* both uses a better blurring algorithm and uses a bitmap to use an arbitrary
39			* and generally much tighter fitting shape than a rectangle.
40			*
41			* The logo removal algorithm has two key points. The first is that it
42			* distinguishes between pixels in the logo and those not in the logo by using
43			* the passed-in bitmap. Pixels not in the logo are copied over directly without
44			* being modified and they also serve as source pixels for the logo
45			* fill-in. Pixels inside the logo have the mask applied.
46			*
47			* At init-time the bitmap is reprocessed internally, and the distance to the
48			* nearest edge of the logo (Manhattan distance), along with a little extra to
49			* remove rough edges, is stored in each pixel. This is done using an in-place
50			* erosion algorithm, and incrementing each pixel that survives any given
51			* erosion. Once every pixel is eroded, the maximum value is recorded, and a
52			* set of masks from size 0 to this size are generated. The masks are circular
53			* binary masks, where each pixel within a radius N (where N is the size of the
54			* mask) is a 1, and all other pixels are a 0. Although a gaussian mask would be
55			* more mathematically accurate, a binary mask works better in practice because
56			* we generally do not use the central pixels in the mask (because they are in
57			* the logo region), and thus a gaussian mask will cause too little blur and
58			* thus a very unstable image.
59			*
60			* The mask is applied in a special way. Namely, only pixels in the mask that
61			* line up to pixels outside the logo are used. The dynamic mask size means that
62			* the mask is just big enough so that the edges touch pixels outside the logo,
63			* so the blurring is kept to a minimum and at least the first boundary
64			* condition is met (that the image function itself is continuous), even if the
65			* second boundary condition (that the derivative of the image function is
66			* continuous) is not met. A masking algorithm that does preserve the second
67			* boundary condition (perhaps something based on a highly-modified bi-cubic
68			* algorithm) should offer even better results on paper, but the noise in a
69			* typical TV signal should make anything based on derivatives hopelessly noisy.
70			*/
71
72			#include "libavutil/imgutils.h"
73			#include "libavutil/mem.h"
74			#include "libavutil/opt.h"
75			#include "avfilter.h"
76			#include "filters.h"
77			#include "video.h"
78			#include "bbox.h"
79			#include "lavfutils.h"
80			#include "lswsutils.h"
81
82			typedef struct RemovelogoContext {
83			const AVClass *class;
84			char *filename;
85			/* Stores our collection of masks. The first is for an array of
86			the second for the y axis, and the third for the x axis. */
87			int ***mask;
88			int max_mask_size;
89			int mask_w, mask_h;
90
91			uint8_t *full_mask_data;
92			FFBoundingBox full_mask_bbox;
93			uint8_t *half_mask_data;
94			FFBoundingBox half_mask_bbox;
95			} RemovelogoContext;
96
97			#define OFFSET(x) offsetof(RemovelogoContext, x)
98			#define FLAGS AV_OPT_FLAG_FILTERING_PARAM|AV_OPT_FLAG_VIDEO_PARAM
99			static const AVOption removelogo_options[] = {
100			{ "filename", "set bitmap filename", OFFSET(filename), AV_OPT_TYPE_STRING, {.str=NULL}, .flags = FLAGS },
101			{ "f", "set bitmap filename", OFFSET(filename), AV_OPT_TYPE_STRING, {.str=NULL}, .flags = FLAGS },
102			{ NULL }
103			};
104
105			AVFILTER_DEFINE_CLASS(removelogo);
106
107			/**
108			* Choose a slightly larger mask size to improve performance.
109			*
110			* This function maps the absolute minimum mask size needed to the
111			* mask size we'll actually use. f(x) = x (the smallest that will
112			* work) will produce the sharpest results, but will be quite
113			* jittery. f(x) = 1.25x (what I'm using) is a good tradeoff in my
114			* opinion. This will calculate only at init-time, so you can put a
115			* long expression here without effecting performance.
116			*/
117			#define apply_mask_fudge_factor(x) (((x) >> 2) + (x))
118
119			/**
120			* Pre-process an image to give distance information.
121			*
122			* This function takes a bitmap image and converts it in place into a
123			* distance image. A distance image is zero for pixels outside of the
124			* logo and is the Manhattan distance (|dx| + |dy|) from the logo edge
125			* for pixels inside of the logo. This will overestimate the distance,
126			* but that is safe, and is far easier to implement than a proper
127			* pythagorean distance since I'm using a modified erosion algorithm
128			* to compute the distances.
129			*
130			* @param mask image which will be converted from a greyscale image
131			* into a distance image.
132			*/
133		✗	static void convert_mask_to_strength_mask(uint8_t *data, int linesize,
134			int w, int h, int min_val,
135			int *max_mask_size)
136			{
137			int x, y;
138
139			/* How many times we've gone through the loop. Used in the
140			in-place erosion algorithm and to get us max_mask_size later on. */
141		✗	int current_pass = 0;
142
143			/* set all non-zero values to 1 */
144		✗	for (y = 0; y < h; y++)
145		✗	for (x = 0; x < w; x++)
146		✗	data[y*linesize + x] = data[y*linesize + x] > min_val;
147
148			/* For each pass, if a pixel is itself the same value as the
149			current pass, and its four neighbors are too, then it is
150			incremented. If no pixels are incremented by the end of the
151			pass, then we go again. Edge pixels are counted as always
152			excluded (this should be true anyway for any sane mask, but if
153			it isn't this will ensure that we eventually exit). */
154		✗	while (1) {
155			/* If this doesn't get set by the end of this pass, then we're done. */
156		✗	int has_anything_changed = 0;
157		✗	uint8_t *current_pixel0 = data + 1 + linesize, *current_pixel;
158		✗	current_pass++;
159
160		✗	for (y = 1; y < h-1; y++) {
161		✗	current_pixel = current_pixel0;
162		✗	for (x = 1; x < w-1; x++) {
163			/* Apply the in-place erosion transform. It is based
164			on the following two premises:
165			1 - Any pixel that fails 1 erosion will fail all
166			future erosions.
167
168			2 - Only pixels having survived all erosions up to
169			the present will be >= to current_pass.
170			It doesn't matter if it survived the current pass,
171			failed it, or hasn't been tested yet. By using >=
172			instead of ==, we allow the algorithm to work in
173			place. */
174		✗	if ( *current_pixel >= current_pass &&
175		✗	*(current_pixel + 1) >= current_pass &&
176		✗	*(current_pixel - 1) >= current_pass &&
177		✗	*(current_pixel + linesize) >= current_pass &&
178		✗	*(current_pixel - linesize) >= current_pass) {
179			/* Increment the value since it still has not been
180			* eroded, as evidenced by the if statement that
181			* just evaluated to true. */
182		✗	(*current_pixel)++;
183		✗	has_anything_changed = 1;
184			}
185		✗	current_pixel++;
186			}
187		✗	current_pixel0 += linesize;
188			}
189		✗	if (!has_anything_changed)
190		✗	break;
191			}
192
193			/* Apply the fudge factor, which will increase the size of the
194			* mask a little to reduce jitter at the cost of more blur. */
195		✗	for (y = 1; y < h - 1; y++)
196		✗	for (x = 1; x < w - 1; x++)
197		✗	data[(y * linesize) + x] = apply_mask_fudge_factor(data[(y * linesize) + x]);
198
199			/* As a side-effect, we now know the maximum mask size, which
200			* we'll use to generate our masks. */
201			/* Apply the fudge factor to this number too, since we must ensure
202			* that enough masks are generated. */
203		✗	*max_mask_size = apply_mask_fudge_factor(current_pass + 1);
204		✗	}
205
206		✗	static int load_mask(uint8_t **mask, int *w, int *h,
207			const char *filename, void *log_ctx)
208			{
209			int ret;
210			uint8_t *gray_data[4];
211			AVFrame *src_frame;
212			int gray_linesize[4];
213
214			/* load image from file */
215		✗	ret = ff_load_image(&src_frame, filename, log_ctx);
216		✗	if (ret < 0)
217		✗	return ret;
218		✗	*w = src_frame->width;
219		✗	*h = src_frame->height;
220
221			/* convert the image to GRAY8 */
222		✗	ret = ff_scale_image(gray_data, gray_linesize, *w, *h, AV_PIX_FMT_GRAY8,
223		✗	src_frame->data, src_frame->linesize, *w, *h,
224		✗	src_frame->format, log_ctx);
225		✗	if (ret < 0)
226		✗	goto end;
227
228			/* copy mask to a newly allocated array */
229		✗	*mask = av_malloc(*w * *h);
230		✗	if (!*mask) {
231		✗	ret = AVERROR(ENOMEM);
232		✗	goto end;
233			}
234		✗	av_image_copy_plane(*mask, *w, gray_data[0], gray_linesize[0], *w, *h);
235
236		✗	end:
237		✗	av_freep(&gray_data[0]);
238		✗	av_frame_free(&src_frame);
239		✗	return ret;
240			}
241
242			/**
243			* Generate a scaled down image with half width, height, and intensity.
244			*
245			* This function not only scales down an image, but halves the value
246			* in each pixel too. The purpose of this is to produce a chroma
247			* filter image out of a luma filter image. The pixel values store the
248			* distance to the edge of the logo and halving the dimensions halves
249			* the distance. This function rounds up, because a downwards rounding
250			* error could cause the filter to fail, but an upwards rounding error
251			* will only cause a minor amount of excess blur in the chroma planes.
252			*/
253		✗	static void generate_half_size_image(const uint8_t *src_data, int src_linesize,
254			uint8_t *dst_data, int dst_linesize,
255			int src_w, int src_h,
256			int *max_mask_size)
257			{
258			int x, y;
259
260			/* Copy over the image data, using the average of 4 pixels for to
261			* calculate each downsampled pixel. */
262		✗	for (y = 0; y < src_h/2; y++) {
263		✗	for (x = 0; x < src_w/2; x++) {
264			/* Set the pixel if there exists a non-zero value in the
265			* source pixels, else clear it. */
266		✗	dst_data[(y * dst_linesize) + x] =
267		✗	src_data[((y << 1) * src_linesize) + (x << 1)] ||
268		✗	src_data[((y << 1) * src_linesize) + (x << 1) + 1] ||
269		✗	src_data[(((y << 1) + 1) * src_linesize) + (x << 1)] ||
270		✗	src_data[(((y << 1) + 1) * src_linesize) + (x << 1) + 1];
271		✗	dst_data[(y * dst_linesize) + x] = FFMIN(1, dst_data[(y * dst_linesize) + x]);
272			}
273			}
274
275		✗	convert_mask_to_strength_mask(dst_data, dst_linesize,
276			src_w/2, src_h/2, 0, max_mask_size);
277		✗	}
278
279		✗	static av_cold int init(AVFilterContext *ctx)
280			{
281		✗	RemovelogoContext *s = ctx->priv;
282			int ***mask;
283		✗	int ret = 0;
284			int a, b, c, w, h;
285			int full_max_mask_size, half_max_mask_size;
286
287		✗	if (!s->filename) {
288		✗	av_log(ctx, AV_LOG_ERROR, "The bitmap file name is mandatory\n");
289		✗	return AVERROR(EINVAL);
290			}
291
292			/* Load our mask image. */
293		✗	if ((ret = load_mask(&s->full_mask_data, &w, &h, s->filename, ctx)) < 0)
294		✗	return ret;
295		✗	s->mask_w = w;
296		✗	s->mask_h = h;
297
298		✗	convert_mask_to_strength_mask(s->full_mask_data, w, w, h,
299			16, &full_max_mask_size);
300
301			/* Create the scaled down mask image for the chroma planes. */
302		✗	if (!(s->half_mask_data = av_mallocz(w/2 * h/2)))
303		✗	return AVERROR(ENOMEM);
304		✗	generate_half_size_image(s->full_mask_data, w,
305			s->half_mask_data, w/2,
306			w, h, &half_max_mask_size);
307
308		✗	s->max_mask_size = FFMAX(full_max_mask_size, half_max_mask_size);
309
310			/* Create a circular mask for each size up to max_mask_size. When
311			the filter is applied, the mask size is determined on a pixel
312			by pixel basis, with pixels nearer the edge of the logo getting
313			smaller mask sizes. */
314		✗	mask = av_calloc(s->max_mask_size + 1, sizeof(*mask));
315		✗	if (!mask)
316		✗	return AVERROR(ENOMEM);
317
318		✗	for (a = 0; a <= s->max_mask_size; a++) {
319		✗	mask[a] = av_calloc((a * 2) + 1, sizeof(*mask[a]));
320		✗	if (!mask[a])
321		✗	goto mask_fail;
322		✗	for (b = -a; b <= a; b++) {
323		✗	mask[a][b + a] = av_malloc_array((a * 2) + 1, sizeof(*mask[a][b + a]));
324		✗	if (!mask[a][b + a])
325		✗	goto mask_fail;
326		✗	for (c = -a; c <= a; c++) {
327		✗	if ((b * b) + (c * c) <= (a * a)) /* Circular 0/1 mask. */
328		✗	mask[a][b + a][c + a] = 1;
329			else
330		✗	mask[a][b + a][c + a] = 0;
331			}
332			}
333			}
334		✗	s->mask = mask;
335
336			/* Calculate our bounding rectangles, which determine in what
337			* region the logo resides for faster processing. */
338		✗	ff_calculate_bounding_box(&s->full_mask_bbox, s->full_mask_data, w, w, h, 0, 8);
339		✗	ff_calculate_bounding_box(&s->half_mask_bbox, s->half_mask_data, w/2, w/2, h/2, 0, 8);
340
341			#define SHOW_LOGO_INFO(mask_type) \
342			av_log(ctx, AV_LOG_VERBOSE, #mask_type " x1:%d x2:%d y1:%d y2:%d max_mask_size:%d\n", \
343			s->mask_type##_mask_bbox.x1, s->mask_type##_mask_bbox.x2, \
344			s->mask_type##_mask_bbox.y1, s->mask_type##_mask_bbox.y2, \
345			mask_type##_max_mask_size);
346		✗	SHOW_LOGO_INFO(full);
347		✗	SHOW_LOGO_INFO(half);
348
349		✗	return 0;
350
351		✗	mask_fail:
352		✗	for (a = 0; a <= s->max_mask_size; a++) {
353		✗	if (mask[a])
354		✗	for (b = 0; b < (a * 2) + 1; b++)
355		✗	av_free(mask[a][b]);
356		✗	av_free(mask[a]);
357			}
358		✗	av_free(mask);
359		✗	return AVERROR(ENOMEM);
360			}
361
362		✗	static int config_props_input(AVFilterLink *inlink)
363			{
364		✗	AVFilterContext *ctx = inlink->dst;
365		✗	RemovelogoContext *s = ctx->priv;
366
367		✗	if (inlink->w != s->mask_w || inlink->h != s->mask_h) {
368		✗	av_log(ctx, AV_LOG_INFO,
369			"Mask image size %dx%d does not match with the input video size %dx%d\n",
370			s->mask_w, s->mask_h, inlink->w, inlink->h);
371		✗	return AVERROR(EINVAL);
372			}
373
374		✗	return 0;
375			}
376
377			/**
378			* Blur image.
379			*
380			* It takes a pixel that is inside the mask and blurs it. It does so
381			* by finding the average of all the pixels within the mask and
382			* outside of the mask.
383			*
384			* @param mask_data the mask plane to use for averaging
385			* @param image_data the image plane to blur
386			* @param w width of the image
387			* @param h height of the image
388			* @param x x-coordinate of the pixel to blur
389			* @param y y-coordinate of the pixel to blur
390			*/
391		✗	static unsigned int blur_pixel(int ***mask,
392			const uint8_t *mask_data, int mask_linesize,
393			uint8_t *image_data, int image_linesize,
394			int w, int h, int x, int y)
395			{
396			/* Mask size tells how large a circle to use. The radius is about
397			* (slightly larger than) mask size. */
398			int mask_size;
399			int start_posx, start_posy, end_posx, end_posy;
400			int i, j;
401		✗	unsigned int accumulator = 0, divisor = 0;
402			/* What pixel we are reading out of the circular blur mask. */
403			const uint8_t *image_read_position;
404			/* What pixel we are reading out of the filter image. */
405			const uint8_t *mask_read_position;
406
407			/* Prepare our bounding rectangle and clip it if need be. */
408		✗	mask_size = mask_data[y * mask_linesize + x];
409		✗	start_posx = FFMAX(0, x - mask_size);
410		✗	start_posy = FFMAX(0, y - mask_size);
411		✗	end_posx = FFMIN(w - 1, x + mask_size);
412		✗	end_posy = FFMIN(h - 1, y + mask_size);
413
414		✗	image_read_position = image_data + image_linesize * start_posy + start_posx;
415		✗	mask_read_position = mask_data + mask_linesize * start_posy + start_posx;
416
417		✗	for (j = start_posy; j <= end_posy; j++) {
418		✗	for (i = start_posx; i <= end_posx; i++) {
419			/* Check if this pixel is in the mask or not. Only use the
420			* pixel if it is not. */
421		✗	if (!(*mask_read_position) && mask[mask_size][i - start_posx][j - start_posy]) {
422		✗	accumulator += *image_read_position;
423		✗	divisor++;
424			}
425
426		✗	image_read_position++;
427		✗	mask_read_position++;
428			}
429
430		✗	image_read_position += (image_linesize - ((end_posx + 1) - start_posx));
431		✗	mask_read_position += (mask_linesize - ((end_posx + 1) - start_posx));
432			}
433
434			/* If divisor is 0, it means that not a single pixel is outside of
435			the logo, so we have no data. Else we need to normalise the
436			data using the divisor. */
437		✗	return divisor == 0 ? 255:
438		✗	(accumulator + (divisor / 2)) / divisor; /* divide, taking into account average rounding error */
439			}
440
441			/**
442			* Blur image plane using a mask.
443			*
444			* @param source The image to have it's logo removed.
445			* @param destination Where the output image will be stored.
446			* @param source_stride How far apart (in memory) two consecutive lines are.
447			* @param destination Same as source_stride, but for the destination image.
448			* @param width Width of the image. This is the same for source and destination.
449			* @param height Height of the image. This is the same for source and destination.
450			* @param is_image_direct If the image is direct, then source and destination are
451			* the same and we can save a lot of time by not copying pixels that
452			* haven't changed.
453			* @param filter The image that stores the distance to the edge of the logo for
454			* each pixel.
455			* @param logo_start_x smallest x-coordinate that contains at least 1 logo pixel.
456			* @param logo_start_y smallest y-coordinate that contains at least 1 logo pixel.
457			* @param logo_end_x largest x-coordinate that contains at least 1 logo pixel.
458			* @param logo_end_y largest y-coordinate that contains at least 1 logo pixel.
459			*
460			* This function processes an entire plane. Pixels outside of the logo are copied
461			* to the output without change, and pixels inside the logo have the de-blurring
462			* function applied.
463			*/
464		✗	static void blur_image(int ***mask,
465			const uint8_t *src_data, int src_linesize,
466			uint8_t *dst_data, int dst_linesize,
467			const uint8_t *mask_data, int mask_linesize,
468			int w, int h, int direct,
469			FFBoundingBox *bbox)
470			{
471			int x, y;
472			uint8_t *dst_line;
473			const uint8_t *src_line;
474
475		✗	if (!direct)
476		✗	av_image_copy_plane(dst_data, dst_linesize, src_data, src_linesize, w, h);
477
478		✗	for (y = bbox->y1; y <= bbox->y2; y++) {
479		✗	src_line = src_data + src_linesize * y;
480		✗	dst_line = dst_data + dst_linesize * y;
481
482		✗	for (x = bbox->x1; x <= bbox->x2; x++) {
483		✗	if (mask_data[y * mask_linesize + x]) {
484			/* Only process if we are in the mask. */
485		✗	dst_line[x] = blur_pixel(mask,
486			mask_data, mask_linesize,
487			dst_data, dst_linesize,
488			w, h, x, y);
489			} else {
490			/* Else just copy the data. */
491		✗	if (!direct)
492		✗	dst_line[x] = src_line[x];
493			}
494			}
495			}
496		✗	}
497
498		✗	static int filter_frame(AVFilterLink *inlink, AVFrame *inpicref)
499			{
500		✗	RemovelogoContext *s = inlink->dst->priv;
501		✗	AVFilterLink *outlink = inlink->dst->outputs[0];
502			AVFrame *outpicref;
503		✗	int direct = 0;
504
505		✗	if (av_frame_is_writable(inpicref)) {
506		✗	direct = 1;
507		✗	outpicref = inpicref;
508			} else {
509		✗	outpicref = ff_get_video_buffer(outlink, outlink->w, outlink->h);
510		✗	if (!outpicref) {
511		✗	av_frame_free(&inpicref);
512		✗	return AVERROR(ENOMEM);
513			}
514		✗	av_frame_copy_props(outpicref, inpicref);
515			}
516
517		✗	blur_image(s->mask,
518		✗	inpicref ->data[0], inpicref ->linesize[0],
519			outpicref->data[0], outpicref->linesize[0],
520		✗	s->full_mask_data, inlink->w,
521			inlink->w, inlink->h, direct, &s->full_mask_bbox);
522		✗	blur_image(s->mask,
523		✗	inpicref ->data[1], inpicref ->linesize[1],
524			outpicref->data[1], outpicref->linesize[1],
525		✗	s->half_mask_data, inlink->w/2,
526		✗	inlink->w/2, inlink->h/2, direct, &s->half_mask_bbox);
527		✗	blur_image(s->mask,
528		✗	inpicref ->data[2], inpicref ->linesize[2],
529			outpicref->data[2], outpicref->linesize[2],
530		✗	s->half_mask_data, inlink->w/2,
531		✗	inlink->w/2, inlink->h/2, direct, &s->half_mask_bbox);
532
533		✗	if (!direct)
534		✗	av_frame_free(&inpicref);
535
536		✗	return ff_filter_frame(outlink, outpicref);
537			}
538
539		✗	static av_cold void uninit(AVFilterContext *ctx)
540			{
541		✗	RemovelogoContext *s = ctx->priv;
542			int a, b;
543
544		✗	av_freep(&s->full_mask_data);
545		✗	av_freep(&s->half_mask_data);
546
547		✗	if (s->mask) {
548			/* Loop through each mask. */
549		✗	for (a = 0; a <= s->max_mask_size; a++) {
550			/* Loop through each scanline in a mask. */
551		✗	for (b = -a; b <= a; b++) {
552		✗	av_freep(&s->mask[a][b + a]); /* Free a scanline. */
553			}
554		✗	av_freep(&s->mask[a]);
555			}
556			/* Free the array of pointers pointing to the masks. */
557		✗	av_freep(&s->mask);
558			}
559		✗	}
560
561			static const AVFilterPad removelogo_inputs[] = {
562			{
563			.name = "default",
564			.type = AVMEDIA_TYPE_VIDEO,
565			.config_props = config_props_input,
566			.filter_frame = filter_frame,
567			},
568			};
569
570			const FFFilter ff_vf_removelogo = {
571			.p.name = "removelogo",
572			.p.description = NULL_IF_CONFIG_SMALL("Remove a TV logo based on a mask image."),
573			.p.priv_class = &removelogo_class,
574			.p.flags = AVFILTER_FLAG_SUPPORT_TIMELINE_GENERIC,
575			.priv_size = sizeof(RemovelogoContext),
576			.init = init,
577			.uninit = uninit,
578			FILTER_INPUTS(removelogo_inputs),
579			FILTER_OUTPUTS(ff_video_default_filterpad),
580			FILTER_SINGLE_PIXFMT(AV_PIX_FMT_YUV420P),
581			};
582