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/*
* This file is part of the XForms library package.
*
* XForms 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, or
* (at your option) any later version.
*
* XForms 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 XForms. If not, see <http://www.gnu.org/licenses/>.
*/
/*
* This file is part of the XForms library package.
* Copyright (c) 1993, 1998-2002 T.C. Zhao
* All rights reserved.
*
* General colvolution routines for RGB and gray (both 8bit and 16bit)
* images. 3x3 and 5x5 kernels are manually unrolled.
*/
#ifdef HAVE_CONFIG_H
#include <config.h>
#endif
#include "include/forms.h"
#include "flimage.h"
#include "flimage_int.h"
/***********************************************************************
* Convolution
*******************************************************************{***/
#define VectorP3( k, b, i ) ( k[ 0 ] * b[ i - 1 ] \
+ k[ 1 ] * b[ i ] \
+ k[ 2 ] * b[ i + 1 ] )
#define VectorP5( k, b, i ) ( k[ 0 ] * b[ i - 2 ] \
+ k[ 1 ] * b[ i - 1 ] \
+ k[ 2 ] * b[ i ] \
+ k[ 3 ] * b[ i + 1 ] \
+ k[ 4 ] * b[ i + 2 ] )
#define conv3x3( cm, m, r, c ) ( VectorP3( cm[ 0 ], m[ r - 1 ], c ) \
+ VectorP3( cm[ 1 ], m[ r + 0 ], c ) \
+ VectorP3( cm[ 2 ], m[ r + 1 ], c ) )
#define conv5x5( kernel, pc, row, col ) \
( VectorP5( kernel[ 0 ], pc[ row - 2 ], col ) \
+ VectorP5( kernel[ 1 ], pc[ row - 1 ], col ) \
+ VectorP5( kernel[ 2 ], pc[ row + 0 ], col ) \
+ VectorP5( kernel[ 3 ], pc[ row + 1 ], col ) \
+ VectorP5( kernel[ 4 ], pc[ row + 2 ], col ) )
/***************************************
***************************************/
static int
uc_conv5x5( int ** kernel,
unsigned char ** pc,
int r,
int c )
{
return conv5x5( kernel, pc, r, c );
}
/***************************************
***************************************/
static int
us_conv5x5( int ** kernel,
unsigned short ** s,
int r,
int c )
{
return conv5x5( kernel, s, r, c );
}
static void init_kernels(void);
/* normalize with weight the clamp */
#define NormAndClamp( pc, w, max ) \
do { \
if ( pc < 0 ) \
pc = 0; \
else if ( ( pc /=w ) > ( max ) ) \
pc = ( max ); \
} while ( 0 )
/***************************************
***************************************/
static void
rgb_convolve( unsigned char ** red,
unsigned char ** green,
unsigned char ** blue,
int h,
int w,
int ** kernel,
int krow,
int kcol,
int weight,
FL_IMAGE * im,
const char * what )
{
int newr,
newg,
newb,
row,
col;
int k_halfh = krow / 2,
k_halfw = kcol / 2;
for ( h -= k_halfw, w -= k_halfw, row = 1; row < h; row++ )
{
if ( krow == 3 && kcol == 3 )
{
for ( col = k_halfw; col < w; col++ )
{
newr = conv3x3( kernel, red, row, col );
newg = conv3x3( kernel, green, row, col );
newb = conv3x3( kernel, blue, row, col );
NormAndClamp( newr, weight, FL_PCMAX );
NormAndClamp( newg, weight, FL_PCMAX );
NormAndClamp( newb, weight, FL_PCMAX );
red[ row ][ col ] = newr;
green[ row ][ col ] = newg;
blue[ row ][ col ] = newb;
}
}
else if ( krow == 5 && kcol == 5 )
{
for ( col = k_halfw; col < w; col++ )
{
newr = uc_conv5x5( kernel, red, row, col );
newg = uc_conv5x5( kernel, green, row, col );
newb = uc_conv5x5( kernel, blue, row, col );
NormAndClamp( newr, weight, FL_PCMAX );
NormAndClamp( newg, weight, FL_PCMAX );
NormAndClamp( newb, weight, FL_PCMAX );
red[ row ][ col ] = newr;
green[ row ][ col ] = newg;
blue[ row ][ col ] = newb;
}
}
else
{
int i,
j,
ccol,
ii,
jj;
for ( col = k_halfw; col < w; col++ )
{
newr = newg = newb = 0;
ccol = col - k_halfw;
for ( i = 0; i < krow; i++ )
{
ii = row - k_halfh + i;
for ( jj = ccol, j = 0; j < kcol; jj++, j++ )
{
newr += kernel[ i ][ j ] * red[ ii ][ jj ];
newg += kernel[ i ][ j ] * green[ ii ][ jj ];
newb += kernel[ i ][ j ] * blue[ ii ][ jj ];
}
}
NormAndClamp( newr, weight, FL_PCMAX );
NormAndClamp( newg, weight, FL_PCMAX );
NormAndClamp( newb, weight, FL_PCMAX );
red[ row ][ col ] = newr;
green[ row ][ col ] = newg;
blue[ row ][ col ] = newg;
}
}
if ( ! ( ++im->completed & FLIMAGE_REPFREQ ) )
im->visual_cue( im, what );
}
}
/***************************************
***************************************/
static void
gray_convolve( unsigned short ** gray,
int h,
int w,
int ** kernel,
int krow,
int kcol,
int weight,
FL_IMAGE * im,
const char * what )
{
int newr,
row,
col;
int k_halfh = krow / 2,
k_halfw = kcol / 2;
for ( h -= k_halfw, w -= k_halfw, row = 1; row < h; row++ )
{
if ( krow == 3 && kcol == 3 )
{
for (col = k_halfw; col < w; col++ )
{
newr = conv3x3( kernel, gray, row, col );
NormAndClamp( newr, weight, FL_PCMAX );
gray[ row ][ col ] = newr;
}
}
else if ( krow == 5 && kcol == 5 )
{
for ( col = k_halfw; col < w; col++ )
{
newr = us_conv5x5( kernel, gray, row, col );
NormAndClamp( newr, weight, im->gray_maxval );
gray[ row ] [col ] = newr;
}
}
else
{
int i,
j,
ccol,
ii,
jj;
for ( col = k_halfw; col < w; col++ )
{
ccol = col - k_halfw;
for ( newr = 0, i = 0; i < krow; i++ )
{
ii = row - k_halfh + i;
for ( jj = ccol, j = 0; j < kcol; jj++, j++ )
newr += kernel[ i ][ j ] * gray[ ii ][ jj ];
}
NormAndClamp( newr, weight, FL_PCMAX );
gray[ row ][ col ] = newr;
}
}
if ( ! ( ++im->completed & FLIMAGE_REPFREQ ) )
im->visual_cue( im, what );
}
}
static int **sharpen_kernel;
static int **smooth_kernel;
/***************************************
***************************************/
int
flimage_convolve( FL_IMAGE * im,
int ** kernel,
int krow,
int kcol )
{
int weight,
i;
const char * what = "convolving";
char buf[ 128 ];
SubImage *sub;
if ( !im || im->w <= 0 || im->type == FL_IMAGE_NONE )
{
M_err( "Convolve", "bad image" );
return -1;
}
/* check subimage settings */
if ( im->subw )
{
if ( im->subw < kcol || im->subh < krow )
{
im->error_message( im, "Convolve: subimage size less than kernel" );
return -1;
}
}
if ( ! sharpen_kernel )
init_kernels( );
if ( kernel == FL_SHARPEN )
{
kernel = sharpen_kernel;
krow = kcol = 3;
what = "sharpening";
}
else if ( kernel == FL_SMOOTH )
{
kernel = smooth_kernel;
krow = kcol = 3;
what = "smoothing";
}
if ( ! ( krow & 1 ) || ! ( kcol & 1 ) )
M_err( "Convolve", "even or zero kernel size (row=%d col=%d)!",
krow, kcol );
for ( weight = i = 0; i < kcol * krow; i++ )
weight += kernel[ 0 ][ i ];
if ( weight <= 0 )
{
im->error_message( im, "bad kernel weight" );
return -1;
}
/* always convert to RGB or GRAY */
if ( ! FL_IsGray( im->type ) )
flimage_convert( im, FL_IMAGE_RGB, 0 );
if ( ! ( sub = flimage_get_subimage( im, 1 ) ) )
return -1;
im->completed = 0;
im->visual_cue( im, what );
if ( FL_IsGray( im->type ) )
gray_convolve( sub->mat[ 0 ], sub->h, sub->w,
kernel, krow, kcol, weight, im, what );
else
rgb_convolve( sub->mat[ 0 ], sub->mat[ 1 ], sub->mat[ 2 ],
sub->h, sub->w, kernel, krow, kcol, weight, im, what );
im->completed = im->total;
sprintf( buf, "%s done", what );
im->visual_cue( im, buf );
if (im->subw)
{
fl_free_matrix( sub->mat[ 0 ] );
fl_free_matrix( sub->mat[ 1 ] );
fl_free_matrix( sub->mat[ 2 ] );
}
im->modified = 1;
return 0;
}
/***************************************
* almost the same as convolve except the kernel is a proper C array
* kernel[krow][kcol]
***************************************/
int
flimage_convolvea( FL_IMAGE * im,
int * kernel,
int krow,
int kcol )
{
int **kk,
status;
if ( ! ( krow & 1 ) || ! ( kcol & 1 ) )
M_err( "Convolve", "even or zero kernel size (row=%d col=%d)!",
krow, kcol );
kk = fl_make_matrix( krow, kcol, sizeof( int ), kernel );
status = flimage_convolve( im, kk, krow,kcol );
fl_free_matrix( kk );
return status;
}
/**********************************************************************
* some built-in kernels
**********************************************************************/
static void
init_kernels( void )
{
sharpen_kernel = fl_get_matrix( 3, 3, sizeof( **sharpen_kernel ) );
smooth_kernel = fl_get_matrix( 3, 3, sizeof( **smooth_kernel ) );
sharpen_kernel[ 0 ][ 0 ] = -1;
sharpen_kernel[ 0 ][ 1 ] = -2;
sharpen_kernel[ 0 ][ 2 ] = -1;
sharpen_kernel[ 1 ][ 0 ] = -2;
sharpen_kernel[ 1 ][ 1 ] = 28;
sharpen_kernel[ 1 ][ 2 ] = -2;
sharpen_kernel[ 2 ][ 0 ] = -1;
sharpen_kernel[ 2 ][ 1 ] = -2;
sharpen_kernel[ 2 ][ 2 ] = -1;
/* smoothing a bit stronger than sharpening */
smooth_kernel[ 0 ][ 0 ] = 1;
smooth_kernel[ 0 ][ 1 ] = 2;
smooth_kernel[ 0 ][ 2 ] = 1;
smooth_kernel[ 1 ][ 0 ] = 2;
smooth_kernel[ 1 ][ 1 ] = 7;
smooth_kernel[ 1 ][ 2 ] = 2;
smooth_kernel[ 2 ][ 0 ] = 1;
smooth_kernel[ 2 ][ 1 ] = 2;
smooth_kernel[ 2 ][ 2 ] = 1;
}
/*}********************************************************************* */
/*
* Local variables:
* tab-width: 4
* indent-tabs-mode: nil
* End:
*/
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