You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
mlt/src/modules/plus/filter_charcoal.c

176 lines
5.1 KiB

/*
* filter_charcoal.c -- charcoal filter
* Copyright (C) 2003-2004 Ushodaya Enterprises Limited
* Author: Charles Yates <charles.yates@pandora.be>
*
* This library is free software; you can redistribute it and/or
* modify it under the terms of the GNU Lesser General Public
* License as published by the Free Software Foundation; either
* version 2.1 of the License, or (at your option) any later version.
*
* This library is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
* Lesser General Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with this library; if not, write to the Free Software
* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
*/
#include "filter_charcoal.h"
#include <framework/mlt_frame.h>
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
static inline int get_Y( uint8_t *pixels, int width, int height, int x, int y )
{
if ( x < 0 || x >= width || y < 0 || y >= height )
{
return 235;
}
else
{
uint8_t *pixel = pixels + y * ( width << 1 ) + ( x << 1 );
return *pixel;
}
}
static inline int sqrti( int n )
{
int p = 0;
int q = 1;
int r = n;
int h = 0;
while( q <= n )
q = q << 2;
while( q != 1 )
{
q = q >> 2;
h = p + q;
p = p >> 1;
if ( r >= h )
{
p = p + q;
r = r - h;
}
}
return p;
}
/** Do it :-).
*/
static int filter_get_image( mlt_frame this, uint8_t **image, mlt_image_format *format, int *width, int *height, int writable )
{
// Get the filter
mlt_filter filter = mlt_frame_pop_service( this );
// Get the image
int error = mlt_frame_get_image( this, image, format, width, height, 1 );
// Only process if we have no error and a valid colour space
if ( error == 0 && *format == mlt_image_yuv422 )
{
// Get the charcoal scatter value
int x_scatter = mlt_properties_get_double( MLT_FILTER_PROPERTIES( filter ), "x_scatter" );
int y_scatter = mlt_properties_get_double( MLT_FILTER_PROPERTIES( filter ), "y_scatter" );
float scale = mlt_properties_get_double( MLT_FILTER_PROPERTIES( filter ), "scale" );
float mix = mlt_properties_get_double( MLT_FILTER_PROPERTIES( filter ), "mix" );
int invert = mlt_properties_get_int( MLT_FILTER_PROPERTIES( filter ), "invert" );
// We'll process pixel by pixel
int x = 0;
int y = 0;
// We need to create a new frame as this effect modifies the input
uint8_t *temp = mlt_pool_alloc( *width * *height * 2 );
uint8_t *p = temp;
uint8_t *q = *image;
// Calculations are carried out on a 3x3 matrix
int matrix[ 3 ][ 3 ];
// Used to carry out the matrix calculations
int sum1;
int sum2;
float sum;
int val;
// Loop for each row
for ( y = 0; y < *height; y ++ )
{
// Loop for each pixel
for ( x = 0; x < *width; x ++ )
{
// Populate the matrix
matrix[ 0 ][ 0 ] = get_Y( *image, *width, *height, x - x_scatter, y - y_scatter );
matrix[ 0 ][ 1 ] = get_Y( *image, *width, *height, x , y - y_scatter );
matrix[ 0 ][ 2 ] = get_Y( *image, *width, *height, x + x_scatter, y - y_scatter );
matrix[ 1 ][ 0 ] = get_Y( *image, *width, *height, x - x_scatter, y );
matrix[ 1 ][ 2 ] = get_Y( *image, *width, *height, x + x_scatter, y );
matrix[ 2 ][ 0 ] = get_Y( *image, *width, *height, x - x_scatter, y + y_scatter );
matrix[ 2 ][ 1 ] = get_Y( *image, *width, *height, x , y + y_scatter );
matrix[ 2 ][ 2 ] = get_Y( *image, *width, *height, x + x_scatter, y + y_scatter );
// Do calculations
sum1 = (matrix[2][0] - matrix[0][0]) + ( (matrix[2][1] - matrix[0][1]) << 1 ) + (matrix[2][2] - matrix[2][0]);
sum2 = (matrix[0][2] - matrix[0][0]) + ( (matrix[1][2] - matrix[1][0]) << 1 ) + (matrix[2][2] - matrix[2][0]);
sum = scale * sqrti( sum1 * sum1 + sum2 * sum2 );
// Assign value
*p ++ = !invert ? ( sum >= 16 && sum <= 235 ? 251 - sum : sum < 16 ? 235 : 16 ) :
( sum >= 16 && sum <= 235 ? sum : sum < 16 ? 16 : 235 );
q ++;
val = 128 + mix * ( *q ++ - 128 );
val = val < 16 ? 16 : val > 240 ? 240 : val;
*p ++ = val;
}
}
// Return the created image
*image = temp;
// Store new and destroy old
mlt_properties_set_data( MLT_FRAME_PROPERTIES( this ), "image", *image, *width * *height * 2, mlt_pool_release, NULL );
}
return error;
}
/** Filter processing.
*/
static mlt_frame filter_process( mlt_filter this, mlt_frame frame )
{
// Push the frame filter
mlt_frame_push_service( frame, this );
mlt_frame_push_get_image( frame, filter_get_image );
return frame;
}
/** Constructor for the filter.
*/
mlt_filter filter_charcoal_init( char *arg )
{
mlt_filter this = mlt_filter_new( );
if ( this != NULL )
{
this->process = filter_process;
mlt_properties_set( MLT_FILTER_PROPERTIES( this ), "x_scatter", "1" );
mlt_properties_set( MLT_FILTER_PROPERTIES( this ), "y_scatter", "1" );
mlt_properties_set( MLT_FILTER_PROPERTIES( this ), "scale", "1.5" );
mlt_properties_set( MLT_FILTER_PROPERTIES( this ), "mix", "0" );
}
return this;
}