/* Find stats on an area of an IMAGE ... consider only pixels for which the
* mask is true.
*/
static DOUBLEMASK *
find_image_stats( IMAGE *in, IMAGE *mask, Rect *area )
{
DOUBLEMASK *stats;
IMAGE *t[4];
gint64 count;
/* Extract area, build black image, mask out pixels we want.
*/
if( im_open_local_array( in, t, 4, "find_image_stats", "p" ) ||
extract_rect( in, t[0], area ) ||
im_black( t[1], t[0]->Xsize, t[0]->Ysize, t[0]->Bands ) ||
im_clip2fmt( t[1], t[2], t[0]->BandFmt ) ||
im_ifthenelse( mask, t[0], t[2], t[3] ) )
return( NULL );
/* Get stats from masked image.
*/
if( !(stats = local_mask( in, im_stats( t[3] ) )) )
return( NULL );
/* Number of non-zero pixels in mask.
*/
if( count_nonzero( mask, &count ) )
return( NULL );
/* And scale masked average to match.
*/
stats->coeff[4] *= (double) count /
((double) mask->Xsize * mask->Ysize);
/* Yuk! Zap the deviation column with the pixel count. Used later to
* determine if this is likely to be a significant overlap.
*/
stats->coeff[5] = count;
#ifdef DEBUG
if( count == 0 )
im_warn( "global_balance", _( "empty overlap!" ) );
#endif /*DEBUG*/
return( stats );
}
/* The main part of the benchmark ... transform labq to labq. Chain several of
* these together to get a CPU-bound operation.
*/
static int
benchmark( IMAGE *in, IMAGE *out )
{
IMAGE *t[18];
double one[3] = { 1.0, 1.0, 1.0 };
double zero[3] = { 0.0, 0.0, 0.0 };
double darken[3] = { 1.0 / 1.18, 1.0, 1.0 };
double whitepoint[3] = { 1.06, 1.0, 1.01 };
double shadow[3] = { -2, 0, 0 };
double white[3] = { 100, 0, 0 };
DOUBLEMASK *d652d50 = im_create_dmaskv( "d652d50", 3, 3,
1.13529, -0.0604663, -0.0606321,
0.0975399, 0.935024, -0.0256156,
-0.0336428, 0.0414702, 0.994135 );
im_add_close_callback( out,
(im_callback_fn) im_free_dmask, d652d50, NULL );
return(
/* Set of descriptors for this operation.
*/
im_open_local_array( out, t, 18, "im_benchmark", "p" ) ||
/* Unpack to float.
*/
im_LabQ2Lab( in, t[0] ) ||
/* Crop 100 pixels off all edges.
*/
im_extract_area( t[0], t[1],
100, 100, t[0]->Xsize - 200, t[0]->Ysize - 200 ) ||
/* Shrink by 10%, bilinear interp.
*/
im_affinei_all( t[1], t[2],
vips_interpolate_bilinear_static(),
0.9, 0, 0, 0.9,
0, 0 ) ||
/* Find L ~= 100 areas (white surround).
*/
im_extract_band( t[2], t[3], 0 ) ||
im_moreconst( t[3], t[4], 99 ) ||
/* Adjust white point and shadows.
*/
im_lintra_vec( 3, darken, t[2], zero, t[5] ) ||
im_Lab2XYZ( t[5], t[6] ) ||
im_recomb( t[6], t[7], d652d50 ) ||
im_lintra_vec( 3, whitepoint, t[7], zero, t[8] ) ||
im_lintra( 1.5, t[8], 0.0, t[9] ) ||
im_XYZ2Lab( t[9], t[10] ) ||
im_lintra_vec( 3, one, t[10], shadow, t[11] ) ||
/* Make a solid white image.
*/
im_black( t[12], t[4]->Xsize, t[4]->Ysize, 3 ) ||
im_lintra_vec( 3, zero, t[12], white, t[13] ) ||
/* Reattach border.
*/
im_ifthenelse( t[4], t[13], t[11], t[14] ) ||
/* Sharpen.
*/
im_Lab2LabQ( t[14], t[15] ) ||
im_sharpen( t[15], out, 11, 2.5, 40, 20, 0.5, 1.5 )
);
}
