sergiotarxz
/
libvips
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

Merge remote-tracking branch 'origin/master' into format-hacking

This commit is contained in:
John Cupitt 2011-11-28 11:18:01 +00:00
parent 19b3c7eeb2 7d05d5d6dd
commit f69ca94e51
4 changed files with 59 additions and 38 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

1
libvips/format/im_jpeg2vips.c
View File

@ -682,6 +682,7 @@ read_jpeg_header( struct jpeg_decompress_struct *cinfo,
if( p->data_length > 4 &&
im_isprefix( "http", (char *) p->data ) &&
read_xmp( out, p->data, p->data_length ) )
return( -1 );
break;

8
libvips/format/im_vips2tiff.c
View File

@ -121,6 +121,8 @@
* output directory
* 5/9/11
* - enable YCbCr compression for jpeg write
* 23/11/11
* - set reduced-resolution subfile type on pyramid layers
*/
/*
@ -567,6 +569,11 @@ write_tiff_header( TiffWrite *tw, TIFF *tif, int width, int height )
}
else
TIFFSetField( tif, TIFFTAG_ROWSPERSTRIP, 16 );
if( tif != tw->tif ) {
/* Pyramid layer.
*/
TIFFSetField( tif, TIFFTAG_SUBFILETYPE, FILETYPE_REDUCEDIMAGE );
}
/* Sample format ... for float, we write IEEE.
*/
@ -1465,6 +1472,7 @@ tiff_copy( TiffWrite *tw, TIFF *out, TIFF *in )
CopyField( TIFFTAG_TILEWIDTH, i32 );
CopyField( TIFFTAG_TILELENGTH, i32 );
CopyField( TIFFTAG_ROWSPERSTRIP, i32 );
CopyField( TIFFTAG_SUBFILETYPE, i32 );
if( tw->predictor != -1 )
TIFFSetField( out, TIFFTAG_PREDICTOR, tw->predictor );

45
libvips/resample/lbb.cpp
View File

@ -3,6 +3,8 @@
* N. Robidoux, C. Racette and J. Cupitt, 23-28/03/2010
*
* N. Robidoux, 16-19/05/2010
*
* N. Robidoux, 22/11/2011
*/
/*
@ -35,13 +37,16 @@
/*
* 2010 (c) Nicolas Robidoux, Chantal Racette, John Cupitt.
*
* Nicolas Robidoux thanks Adam Turcotte, Geert Jordaens, Ralf Meyer,
* N. Robidoux thanks Adam Turcotte, Geert Jordaens, Ralf Meyer,
* Øyvind Kolås, Minglun Gong, Eric Daoust and Sven Neumann for useful
* comments and code.
*
* Chantal Racette's image resampling research and programming funded
* in part by a NSERC Discovery Grant awarded to Julien Dompierre
* (20-61098).
* C. Racette's image resampling research and programming funded in
* part by an NSERC (National Science and Engineering Research Council
* of Canada) Alexander Graham Bell Canada Graduate Scholarship, by an
* NSERC Discovery Grant awarded to Julien Dompierre (grant number
* 20-61098) and by N. Robidoux's Laurentian University professional
* allowance.
*/
/*
@ -53,21 +58,21 @@
*
* A "sharp" version, which shows a little more staircasing and a
* little less haloing, which is a little cheaper (it uses 6 less
* comparisons and 12 less "? :"), and which appears to lead to less
* "zebra striping" when two diagonal interfaces are close to each
* other.
* comparisons and 12 less "? :").
*
* The only difference between the two is that the "soft" versions
* uses local minima and maxima computed over 3x3 square blocks, and
* the "sharp" version uses local minima and maxima computed over 3x3
* crosses.
*
* If you want to use the "soft" (more expensive) version, comment out
* the following three pre-processor code lines:
* If you want to use the "sharp" version, comment out the following
* three pre-processor code lines:
*/
/*
#ifndef __LBB_CHEAP_H__
#define __LBB_CHEAP_H__
#endif
*/
/*
* LBB (Locally Bounded Bicubic) is a high quality nonlinear variant
@ -83,14 +88,14 @@
* final clamping is needed to stay "in range" (e.g., 0-255 for
* standard 8-bit images).
*
* LBB was developed by Nicolas Robidoux and Chantal Racette of the
* Department of Mathematics and Computer Science of Laurentian
* University in the course of C. Racette's Masters thesis in
* Computational Sciences. Preliminary work directly leading to the
* LBB method and code was performed by C. Racette and N. Robidoux in
* the course of her honours thesis, and by N. Robidoux, A. Turcotte
* and E. Daoust during Google Summer of Code 2009 (through two awards
* made to GIMP to improve GEGL).
* LBB was developed by N. Robidoux and C. Racette at the Department
* of Mathematics and Computer Science of Laurentian University in the
* course of C. Racette's Masters thesis in Computational
* Sciences. Preliminary work directly leading to the LBB method and
* code was performed by C. Racette and N. Robidoux in the course of
* her honours thesis, and by N. Robidoux, A. Turcotte and E. Daoust
* during Google Summer of Code 2009 (through two awards made to GIMP
* to improve GEGL).
*
* LBB is a novel method with the following properties:
*
@ -186,6 +191,9 @@ typedef struct _VipsInterpolateLbbClass {
} VipsInterpolateLbbClass;
/*
* Absolute value and sign macros:
*/
#define LBB_ABS(x) ( ((x)>=0.) ? (x) : -(x) )
#define LBB_SIGN(x) ( ((x)>=0.) ? 1.0 : -1.0 )
/*
@ -258,6 +266,9 @@ lbbicubic( const double c00,
* sub-crosses of the 4x4 input stencil, performed with only 22
* comparisons and 28 "? :". If you can figure out how to do this
* more efficiently, let us know.
*
* This is the cheaper (but arguably less desirable in terms of
* quality) version of the computation.
*/
const double m1 = (dos_two <= dos_thr) ? dos_two : dos_thr ;
const double M1 = (dos_two <= dos_thr) ? dos_thr : dos_two ;

43
libvips/resample/nohalo.cpp
View File

@ -46,7 +46,7 @@
* 2009-2010 (c) Nicolas Robidoux, Chantal Racette, John Cupitt and
* Adam Turcotte
*
* Nicolas Robidoux thanks Geert Jordaens, Ralf Meyer, Øyvind Kolås,
* N. Robidoux thanks Geert Jordaens, Ralf Meyer, Øyvind Kolås,
* Minglun Gong, Eric Daoust and Sven Neumann for useful comments and
* code.
*
@ -54,24 +54,27 @@
* (National Science and Engineering Research Council of Canada)
* Discovery Grant awarded to him (298424--2004).
*
* Chantal Racette's image resampling research and programming funded
* in part by a NSERC Discovery Grant awarded to Julien Dompierre
* (20-61098).
* C. Racette's image resampling research and programming funded in
* part by an NSERC (National Science and Engineering Research Council
* of Canada) Alexander Graham Bell Canada Graduate Scholarship, by an
* NSERC Discovery Grant awarded to Julien Dompierre (grant number
* 20-61098) and by N. Robidoux's Laurentian University professional
* allowance.
*
* A. Turcotte's image resampling research on reduced halo funded in
* part by an NSERC Alexander Graham Bell Canada Graduate Scholarhip
* awarded to him and by a Google Summer of Code 2010 award awarded to
* GIMP (Gnu Image Manipulation Program).
*
* Nohalo with LBB finishing scheme was developed by Nicolas Robidoux
* and Chantal Racette of the Department of Mathematics and Computer
* Science of Laurentian University in the course of C. Racette's
* Masters thesis in Computational Sciences. Preliminary work on
* Nohalo and monotone interpolation was performed by C. Racette and
* N. Robidoux in the course of her honours thesis, by N. Robidoux,
* A. Turcotte and E. Daoust during Google Summer of Code 2009
* (through two awards made to GIMP to improve GEGL), and, earlier, by
* N. Robidoux, A. Turcotte, J. Cupitt, M. Gong and K. Martinez.
* Nohalo with LBB finishing scheme was developed by N. Robidoux and
* C. Racette at the Department of Mathematics and Computer Science of
* Laurentian University in the course of C. Racette's Masters thesis
* in Computational Sciences. Preliminary work on Nohalo and monotone
* interpolation was performed by C. Racette and N. Robidoux in the
* course of her honours thesis, by N. Robidoux, A. Turcotte and
* E. Daoust during Google Summer of Code 2009 (through two awards
* made to GIMP to improve GEGL), and, earlier, by N. Robidoux,
* A. Turcotte, J. Cupitt, M. Gong and K. Martinez.
*/
/*
@ -100,10 +103,6 @@
*/
/*
commented out 24/2/10, nohalo gets a bit better without it, though
not lbb
#ifndef __NOHALO_CHEAP_H__
#define __NOHALO_CHEAP_H__
#endif
@ -306,6 +305,9 @@ typedef struct _VipsInterpolateNohaloClass {
#define NOHALO_MINMOD(a,b,a_times_a,a_times_b) \
( ( (a_times_b)>=0. ) ? ( (a_times_a)<=(a_times_b) ? (a) : (b) ) : 0. )
/*
* Absolute value and sign macros:
*/
#define NOHALO_ABS(x) ( ((x)>=0.) ? (x) : -(x) )
#define NOHALO_SIGN(x) ( ((x)>=0.) ? 1. : -1. )
@ -692,10 +694,9 @@ nohalo_subdivision (const double uno_two,
* final clamping is needed to stay "in range" (e.g., 0-255 for
* standard 8-bit images).
*
* LBB was developed by Nicolas Robidoux and Chantal Racette of the
* Department of Mathematics and Computer Science of Laurentian
* University in the course of Chantal's Masters Thesis in
* Computational Sciences.
* LBB was developed by N. Robidoux and C. Racette of the Department
* of Mathematics and Computer Science of Laurentian University in the
* course of C.'s Masters Thesis in Computational Sciences.
*/
/*