static int
vips_similarity_build( VipsObject *object )
{
VipsResample *resample = VIPS_RESAMPLE( object );
VipsSimilarity *similarity = (VipsSimilarity *) object;
VipsImage **t = (VipsImage **)
vips_object_local_array( object, 4 );
double a, b, c, d;
if( VIPS_OBJECT_CLASS( vips_similarity_parent_class )->build( object ) )
return( -1 );
a = similarity->scale * cos( VIPS_RAD( similarity->angle ) );
b = sin( VIPS_RAD( similarity->angle ) );
c = -b;
d = a;
if( vips_affine( resample->in, &t[0], a, b, c, d,
"interpolate", similarity->interpolate,
"odx", similarity->odx,
"ody", similarity->ody,
"idx", similarity->idx,
"idy", similarity->idy,
NULL ) ||
vips_image_write( t[0], resample->out ) )
return( -1 );
return( 0 );
}
static int
vips_similarity_build( VipsObject *object )
{
VipsResample *resample = VIPS_RESAMPLE( object );
VipsSimilarity *similarity = (VipsSimilarity *) object;
VipsImage **t = (VipsImage **)
vips_object_local_array( object, 4 );
if( VIPS_OBJECT_CLASS( vips_similarity_parent_class )->build( object ) )
return( -1 );
/* Use vips_reduce(), if we can.
*/
if( similarity->interpolate &&
strcmp( VIPS_OBJECT_GET_CLASS( similarity->interpolate )->
nickname, "bicubic" ) == 0 &&
similarity->angle == 0.0 &&
similarity->idx == 0.0 &&
similarity->idy == 0.0 &&
similarity->odx == 0.0 &&
similarity->ody == 0.0 ) {
if( vips_reduce( resample->in, &t[0],
1.0 / similarity->scale,
1.0 / similarity->scale, NULL ) )
return( -1 );
}
else {
double a = similarity->scale *
cos( VIPS_RAD( similarity->angle ) );
double b = similarity->scale *
-sin( VIPS_RAD( similarity->angle ) );
double c = -b;
double d = a;
if( vips_affine( resample->in, &t[0], a, b, c, d,
"interpolate", similarity->interpolate,
"odx", similarity->odx,
"ody", similarity->ody,
"idx", similarity->idx,
"idy", similarity->idy,
NULL ) )
return( -1 );
}
if( vips_image_write( t[0], resample->out ) )
return( -1 );
return( 0 );
}
static int
vips_shrink_build( VipsObject *object )
{
VipsResample *resample = VIPS_RESAMPLE( object );
VipsShrink *shrink = (VipsShrink *) object;
VipsImage **t = (VipsImage **)
vips_object_local_array( object, 3 );
int xshrink_int;
int yshrink_int;
if( VIPS_OBJECT_CLASS( vips_shrink_parent_class )->build( object ) )
return( -1 );
xshrink_int = (int) shrink->xshrink;
yshrink_int = (int) shrink->yshrink;
if( xshrink_int != shrink->xshrink ||
yshrink_int != shrink->yshrink ) {
/* Shrink by int factors, affine to final size.
*/
int target_width = resample->in->Xsize / shrink->xshrink;
int target_height = resample->in->Ysize / shrink->yshrink;
double xresidual;
double yresidual;
if( vips_shrinkv( resample->in, &t[0], yshrink_int, NULL ) ||
vips_shrinkh( t[0], &t[1], xshrink_int, NULL ) )
return( -1 );
xresidual = (double) target_width / t[1]->Xsize;
yresidual = (double) target_height / t[1]->Ysize;
if( vips_affine( t[1], &t[2],
xresidual, 0.0, 0.0, yresidual, NULL ) ||
vips_image_write( t[2], resample->out ) )
return( -1 );
}
else {
if( vips_shrinkv( resample->in, &t[0], shrink->yshrink, NULL ) ||
vips_shrinkh( t[0], &t[1], shrink->xshrink, NULL ) ||
vips_image_write( t[1], resample->out ) )
return( -1 );
}
return( 0 );
}
static VipsImage *
thumbnail_shrink( VipsObject *process, VipsImage *in,
VipsInterpolate *interp, VipsImage *sharpen )
{
VipsImage **t = (VipsImage **) vips_object_local_array( process, 10 );
VipsInterpretation interpretation = linear_processing ?
VIPS_INTERPRETATION_XYZ : VIPS_INTERPRETATION_sRGB;
int shrink;
double residual;
int tile_width;
int tile_height;
int nlines;
/* RAD needs special unpacking.
*/
if( in->Coding == VIPS_CODING_RAD ) {
vips_info( "vipsthumbnail", "unpacking Rad to float" );
/* rad is scrgb.
*/
if( vips_rad2float( in, &t[0], NULL ) )
return( NULL );
in = t[0];
}
/* In linear mode, we import right at the start.
*
* This is only going to work for images in device space. If you have
* an image in PCS which also has an attached profile, strange things
* will happen.
*/
if( linear_processing &&
in->Coding == VIPS_CODING_NONE &&
(in->BandFmt == VIPS_FORMAT_UCHAR ||
in->BandFmt == VIPS_FORMAT_USHORT) &&
(vips_image_get_typeof( in, VIPS_META_ICC_NAME ) ||
import_profile) ) {
if( vips_image_get_typeof( in, VIPS_META_ICC_NAME ) )
vips_info( "vipsthumbnail",
"importing with embedded profile" );
else
vips_info( "vipsthumbnail",
"importing with profile %s", import_profile );
if( vips_icc_import( in, &t[1],
"input_profile", import_profile,
"embedded", TRUE,
"pcs", VIPS_PCS_XYZ,
NULL ) )
return( NULL );
in = t[1];
}
/* To the processing colourspace. This will unpack LABQ as well.
*/
vips_info( "vipsthumbnail", "converting to processing space %s",
vips_enum_nick( VIPS_TYPE_INTERPRETATION, interpretation ) );
if( vips_colourspace( in, &t[2], interpretation, NULL ) )
return( NULL );
in = t[2];
shrink = calculate_shrink( in, &residual );
vips_info( "vipsthumbnail", "integer shrink by %d", shrink );
if( vips_shrink( in, &t[3], shrink, shrink, NULL ) )
return( NULL );
in = t[3];
/* We want to make sure we read the image sequentially.
* However, the convolution we may be doing later will force us
* into SMALLTILE or maybe FATSTRIP mode and that will break
* sequentiality.
*
* So ... read into a cache where tiles are scanlines, and make sure
* we keep enough scanlines to be able to serve a line of tiles.
*
* We use a threaded tilecache to avoid a deadlock: suppose thread1,
* evaluating the top block of the output, is delayed, and thread2,
* evaluating the second block, gets here first (this can happen on
* a heavily-loaded system).
*
* With an unthreaded tilecache (as we had before), thread2 will get
* the cache lock and start evaling the second block of the shrink.
* When it reaches the png reader it will stall until the first block
* has been used ... but it never will, since thread1 will block on
* this cache lock.
*/
vips_get_tile_size( in,
&tile_width, &tile_height, &nlines );
if( vips_tilecache( in, &t[4],
"tile_width", in->Xsize,
"tile_height", 10,
"max_tiles", (nlines * 2) / 10,
"access", VIPS_ACCESS_SEQUENTIAL,
"threaded", TRUE,
NULL ) ||
vips_affine( t[4], &t[5], residual, 0, 0, residual,
"interpolate", interp,
NULL ) )
return( NULL );
in = t[5];
vips_info( "vipsthumbnail", "residual scale by %g", residual );
vips_info( "vipsthumbnail", "%s interpolation",
VIPS_OBJECT_GET_CLASS( interp )->nickname );
/* Colour management.
*
* In linear mode, just export. In device space mode, do a combined
* import/export to transform to the target space.
*/
if( linear_processing ) {
if( export_profile ||
vips_image_get_typeof( in, VIPS_META_ICC_NAME ) ) {
vips_info( "vipsthumbnail",
"exporting to device space with a profile" );
if( vips_icc_export( in, &t[7],
"output_profile", export_profile,
NULL ) )
return( NULL );
in = t[7];
}
else {
vips_info( "vipsthumbnail", "converting to sRGB" );
if( vips_colourspace( in, &t[6],
VIPS_INTERPRETATION_sRGB, NULL ) )
return( NULL );
in = t[6];
}
}
else if( export_profile &&
(vips_image_get_typeof( in, VIPS_META_ICC_NAME ) ||
import_profile) ) {
if( vips_image_get_typeof( in, VIPS_META_ICC_NAME ) )
vips_info( "vipsthumbnail",
"importing with embedded profile" );
else
vips_info( "vipsthumbnail",
"importing with profile %s", import_profile );
vips_info( "vipsthumbnail",
"exporting with profile %s", export_profile );
if( vips_icc_transform( in, &t[6], export_profile,
"input_profile", import_profile,
"embedded", TRUE,
NULL ) )
return( NULL );
in = t[6];
}
/* If we are upsampling, don't sharpen, since nearest looks dumb
* sharpened.
*/
if( shrink >= 1 &&
residual <= 1.0 &&
sharpen ) {
vips_info( "vipsthumbnail", "sharpening thumbnail" );
if( vips_conv( in, &t[8], sharpen, NULL ) )
return( NULL );
in = t[8];
}
if( delete_profile &&
vips_image_get_typeof( in, VIPS_META_ICC_NAME ) ) {
vips_info( "vipsthumbnail",
"deleting profile from output image" );
if( !vips_image_remove( in, VIPS_META_ICC_NAME ) )
return( NULL );
}
return( in );
}
static int
vips_resize_build( VipsObject *object )
{
VipsResample *resample = VIPS_RESAMPLE( object );
VipsResize *resize = (VipsResize *) object;
VipsImage **t = (VipsImage **)
vips_object_local_array( object, 7 );
VipsImage *in;
int window_size;
int int_shrink;
int int_shrink_width;
double residual;
double sigma;
if( VIPS_OBJECT_CLASS( vips_resize_parent_class )->build( object ) )
return( -1 );
if( !vips_object_argument_isset( object, "interpolate" ) ) {
VipsInterpolate *interpolate;
char *nick;
if( vips_type_find( "VipsInterpolate", "bicubic" ) )
nick = "bicubic";
else
nick = "bilinear";
interpolate = vips_interpolate_new( nick );
g_object_set( object, "interpolate", interpolate, NULL );
VIPS_UNREF( interpolate );
}
in = resample->in;
window_size = resize->interpolate ?
vips_interpolate_get_window_size( resize->interpolate ) : 2;
/* If the factor is > 1.0, we need to zoom rather than shrink.
* Just set the int part to 1 in this case.
*/
int_shrink = resize->scale > 1.0 ? 1 : floor( 1.0 / resize->scale );
/* We want to shrink by less for interpolators with larger windows.
*/
int_shrink = VIPS_MAX( 1,
int_shrink / VIPS_MAX( 1, window_size / 2 ) );
/* Size after int shrink.
*/
int_shrink_width = in->Xsize / int_shrink;
/* Therefore residual scale factor is.
*/
residual = (in->Xsize * resize->scale) / int_shrink_width;
/* A copy for enlarge resize.
*/
if( vips_shrink( in, &t[0], int_shrink, int_shrink, NULL ) )
return( -1 );
in = t[0];
/* We want to make sure we read the image sequentially.
* However, the convolution we may be doing later will force us
* into SMALLTILE or maybe FATSTRIP mode and that will break
* sequentiality.
*
* So ... read into a cache where tiles are scanlines, and make sure
* we keep enough scanlines to be able to serve a line of tiles.
*
* We use a threaded tilecache to avoid a deadlock: suppose thread1,
* evaluating the top block of the output, is delayed, and thread2,
* evaluating the second block, gets here first (this can happen on
* a heavily-loaded system).
*
* With an unthreaded tilecache (as we had before), thread2 will get
* the cache lock and start evaling the second block of the shrink.
* When it reaches the png reader it will stall until the first block
* has been used ... but it never will, since thread1 will block on
* this cache lock.
*/
if( int_shrink > 1 ) {
int tile_width;
int tile_height;
int nlines;
vips_get_tile_size( in,
&tile_width, &tile_height, &nlines );
if( vips_tilecache( in, &t[6],
"tile_width", in->Xsize,
"tile_height", 10,
"max_tiles", 1 + (nlines * 2) / 10,
"access", VIPS_ACCESS_SEQUENTIAL,
"threaded", TRUE,
NULL ) )
return( -1 );
in = t[6];
}
/* If the final affine will be doing a large downsample, we can get
* nasty aliasing on hard edges. Blur before affine to smooth this out.
*
* Don't blur for very small shrinks, blur with radius 1 for x1.5
* shrinks, blur radius 2 for x2.5 shrinks and above, etc.
*/
sigma = ((1.0 / residual) - 0.5) / 1.5;
if( residual < 1.0 &&
sigma > 0.1 ) {
if( vips_gaussblur( in, &t[2], sigma, NULL ) )
return( -1 );
in = t[2];
}
if( vips_affine( in, &t[3], residual, 0, 0, residual,
"interpolate", resize->interpolate,
"idx", resize->idx,
"idy", resize->idy,
NULL ) )
return( -1 );
in = t[3];
/* If we are upsampling, don't sharpen.
*/
if( int_shrink > 1 ) {
t[5] = vips_image_new_matrixv( 3, 3,
-1.0, -1.0, -1.0,
-1.0, 32.0, -1.0,
-1.0, -1.0, -1.0 );
vips_image_set_double( t[5], "scale", 24 );
if( vips_conv( in, &t[4], t[5], NULL ) )
return( -1 );
in = t[4];
}
if( vips_image_write( in, resample->out ) )
return( -1 );
return( 0 );
}
static int
vips_similarity_build( VipsObject *object )
{
VipsResample *resample = VIPS_RESAMPLE( object );
VipsSimilarity *similarity = (VipsSimilarity *) object;
VipsImage **t = (VipsImage **)
vips_object_local_array( object, 4 );
gboolean handled;
if( VIPS_OBJECT_CLASS( vips_similarity_parent_class )->build( object ) )
return( -1 );
handled = FALSE;
/* Use vips_reduce(), if we can.
*/
if( similarity->interpolate &&
similarity->angle == 0.0 &&
similarity->idx == 0.0 &&
similarity->idy == 0.0 &&
similarity->odx == 0.0 &&
similarity->ody == 0.0 ) {
const char *nickname = VIPS_OBJECT_GET_CLASS(
similarity->interpolate )->nickname;
int i;
for( i = 0; i < VIPS_NUMBER( vips_similarity_kernel ); i++ ) {
VipsInterpolateKernel *ik = &vips_similarity_kernel[i];
if( strcmp( nickname, ik->nickname ) == 0 ) {
if( vips_reduce( resample->in, &t[0],
1.0 / similarity->scale,
1.0 / similarity->scale,
"kernel", ik->kernel,
NULL ) )
return( -1 );
handled = TRUE;
break;
}
}
}
if( !handled ) {
double a = similarity->scale *
cos( VIPS_RAD( similarity->angle ) );
double b = similarity->scale *
-sin( VIPS_RAD( similarity->angle ) );
double c = -b;
double d = a;
if( vips_affine( resample->in, &t[0], a, b, c, d,
"interpolate", similarity->interpolate,
"odx", similarity->odx,
"ody", similarity->ody,
"idx", similarity->idx,
"idy", similarity->idy,
NULL ) )
return( -1 );
}
if( vips_image_write( t[0], resample->out ) )
return( -1 );
return( 0 );
}
