gstreamer/gst/videoscale/vs_lanczos.c
2012-02-04 13:41:47 -08:00

1649 lines
50 KiB
C

/*
* Image Scaling Functions
* Copyright (c) 2011 David A. Schleef <ds@schleef.org>
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
* 1. Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* 2. Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution.
*
* THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS'' AND ANY EXPRESS OR
* IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
* WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
* ARE DISCLAIMED. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT,
* INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
* (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
* SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION)
* HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,
* STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING
* IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
* POSSIBILITY OF SUCH DAMAGE.
*/
/*
*
* Modified Lanczos scaling algorithm
* ==================================
*
* This algorithm was developed by the author. The primary goals of
* the algorithm are high-quality video downscaling for medium scale
* factors (in the range of 1.3x to 5.0x) using methods that can be
* converted to SIMD code. Concerns with existing algorithms were
* mainly related to either over-soft filtering (Lanczos) or aliasing
* (bilinear or any other method with inadequate sampling).
*
* The problems with bilinear scaling are apparent when downscaling
* more than a factor of 2. For example, when downscaling by a factor
* of 3, only two-thirds of the input pixels contribute to the output
* pixels. This is only considering scaling in one direction; after
* scaling both vertically and horizontally in a 2-D image, fewer than
* half of the input pixels contribute to the output, so it should not
* be surprising that the output is suboptimal.
*
* The problems with Lanczos scaling are more subtle. From a theoretical
* perspective, Lanczos is an optimal algorithm for resampling equally-
* spaced values. This theoretical perspective is based on analysis
* done in frequency space, thus, Lanczos works very well for audio
* resampling, since the ear hears primarily in frequency space. The
* human visual system is sensitive primarily in the spatial domain,
* therefore any resampling algorithm should take this into account.
* This difference is immediately clear in the size of resampling
* window or envelope that is chosen for resampling: for audio, an
* envelope of a=64 is typical, in image scaling, the envelope is
* usually a=2 or a=3.
*
* One result of the HVS being sensitive in the spatial domain (and
* also probably due to oversampling capabilities of the retina and
* visual cortex) is that it is less sensitive to the exact magnitude
* of high-frequency visual signals than to the appropriate amount of
* energy in the nearby frequency band. A Lanczos kernel with a=2
* or a=3 strongly decreases the amount of energy in the high frequency
* bands. The energy in this area can be increased by increasing a,
* which brings in energy from different areas of the image (bad for
* reasons mentioned above), or by oversampling the input data. We
* have chosen two methods for doing the latter. Firstly, there is
* a sharpness parameter, which increases the cutoff frequency of the
* filter, aliasing higher frequency noise into the passband. And
* secondly, there is the sharpen parameter, which increases the
* contribution of high-frequency (but in-band) components.
*
* An alternate explanation of the usefulness of a sharpening filter
* is that many natural images have a roughly 1/f spectrum. In order
* for a downsampled image to look more "natural" when high frequencies
* are removed, the frequencies in the pass band near the cutoff
* frequency are amplified, causing the spectrum to be more roughly
* 1/f. I said "roughly", not "literally".
*
* This alternate explanation is useful for understanding the author's
* secondary motivation for developing this algorithm, namely, as a
* method of video compression. Several recent techniques (such as
* HTTP Live Streaming and SVC) use image scaling as a method to get
* increased compression out of nominally non-scalable codecs such as
* H.264. For optimal quality, it is thusly important to consider
* the scaler and encoder as a combined unit. Tuning of the sharpness
* and sharpen parameters was performed using the Toro encoder tuner,
* where scaled and encoded video was compared to unscaled and encoded
* video. This tuning suggested values that were very close to the
* values chosen by manual inspection of scaled images and video.
*
* The optimal values of sharpen and sharpness were slightly different
* depending whether the comparison was still images or video. Video
* comparisons were more sensitive to aliasing, since the aliasing
* artifacts tended to move or "crawl" around the video. The default
* values are for video; image scaling may prefer higher values.
*
* A number of related techniques were rejected for various reasons.
* An early technique of selecting the sharpness factor locally based
* on edge detection (in order to use a higher sharpness values without
* the corresponding aliasing on edges) worked very well for still
* images, but caused too much "crawling" on textures in video. Also,
* this method is slow, as it does not parallelize well.
*
* Non-separable techniques were rejected because the fastest would
* have been at least 4x slower.
*
* It is infrequently appreciated that image scaling should ideally be
* done in linear light space. Converting to linear light space has
* a similar effect to a sharpening filter. This approach was not
* taken because the added benefit is minor compared to the additional
* computational cost. Morever, the benefit is decreased by increasing
* the strength of the sharpening filter.
*
*/
#include <string.h>
#include "vs_scanline.h"
#include "vs_image.h"
#include "gstvideoscaleorc.h"
#include <gst/gst.h>
#include <math.h>
#define NEED_CLAMP(x,a,b) ((x) < (a) || (x) > (b))
#define ROUND_UP_2(x) (((x)+1)&~1)
#define ROUND_UP_4(x) (((x)+3)&~3)
#define ROUND_UP_8(x) (((x)+7)&~7)
#define SRC_LINE(i) (scale->src->pixels + scale->src->stride * (i))
#define TMP_LINE_S16(i) ((gint16 *)scale->tmpdata + (i)*(scale->dest->width))
#define TMP_LINE_S32(i) ((gint32 *)scale->tmpdata + (i)*(scale->dest->width))
#define TMP_LINE_FLOAT(i) ((float *)scale->tmpdata + (i)*(scale->dest->width))
#define TMP_LINE_DOUBLE(i) ((double *)scale->tmpdata + (i)*(scale->dest->width))
#define TMP_LINE_S16_AYUV(i) ((gint16 *)scale->tmpdata + (i)*4*(scale->dest->width))
#define TMP_LINE_S32_AYUV(i) ((gint32 *)scale->tmpdata + (i)*4*(scale->dest->width))
#define TMP_LINE_FLOAT_AYUV(i) ((float *)scale->tmpdata + (i)*4*(scale->dest->width))
#define TMP_LINE_DOUBLE_AYUV(i) ((double *)scale->tmpdata + (i)*4*(scale->dest->width))
#define PTR_OFFSET(a,b) ((void *)((char *)(a) + (b)))
typedef void (*HorizResampleFunc) (void *dest, const gint32 * offsets,
const void *taps, const void *src, int n_taps, int shift, int n);
typedef struct _Scale1D Scale1D;
struct _Scale1D
{
int n;
double offset;
double scale;
double fx;
double ex;
int dx;
int n_taps;
gint32 *offsets;
void *taps;
};
typedef struct _Scale Scale;
struct _Scale
{
const VSImage *dest;
const VSImage *src;
double sharpness;
gboolean dither;
void *tmpdata;
HorizResampleFunc horiz_resample_func;
Scale1D x_scale1d;
Scale1D y_scale1d;
};
static void
vs_image_scale_lanczos_Y_int16 (const VSImage * dest, const VSImage * src,
uint8_t * tmpbuf, double sharpness, gboolean dither, double a,
double sharpen);
static void vs_image_scale_lanczos_Y_int32 (const VSImage * dest,
const VSImage * src, uint8_t * tmpbuf, double sharpness, gboolean dither,
double a, double sharpen);
static void vs_image_scale_lanczos_Y_float (const VSImage * dest,
const VSImage * src, uint8_t * tmpbuf, double sharpness, gboolean dither,
double a, double sharpen);
static void vs_image_scale_lanczos_Y_double (const VSImage * dest,
const VSImage * src, uint8_t * tmpbuf, double sharpness, gboolean dither,
double a, double sharpen);
static void
vs_image_scale_lanczos_AYUV_int16 (const VSImage * dest, const VSImage * src,
uint8_t * tmpbuf, double sharpness, gboolean dither, double a,
double sharpen);
static void vs_image_scale_lanczos_AYUV_int32 (const VSImage * dest,
const VSImage * src, uint8_t * tmpbuf, double sharpness, gboolean dither,
double a, double sharpen);
static void vs_image_scale_lanczos_AYUV_float (const VSImage * dest,
const VSImage * src, uint8_t * tmpbuf, double sharpness, gboolean dither,
double a, double sharpen);
static void vs_image_scale_lanczos_AYUV_double (const VSImage * dest,
const VSImage * src, uint8_t * tmpbuf, double sharpness, gboolean dither,
double a, double sharpen);
static void vs_image_scale_lanczos_AYUV64_double (const VSImage * dest,
const VSImage * src, uint8_t * tmpbuf, double sharpness, gboolean dither,
double a, double sharpen);
static double
sinc (double x)
{
if (x == 0)
return 1;
return sin (G_PI * x) / (G_PI * x);
}
static double
envelope (double x)
{
if (x <= -1 || x >= 1)
return 0;
return sinc (x);
}
static int
scale1d_get_n_taps (int src_size, int dest_size, double a, double sharpness)
{
double scale;
double fx;
int dx;
scale = src_size / (double) dest_size;
if (scale > 1.0) {
fx = (1.0 / scale) * sharpness;
} else {
fx = (1.0) * sharpness;
}
dx = ceil (a / fx);
return 2 * dx;
}
static void
scale1d_cleanup (Scale1D * scale)
{
g_free (scale->taps);
g_free (scale->offsets);
}
/*
* Calculates a set of taps for each destination element in double
* format. Each set of taps sums to 1.0.
*
*/
static void
scale1d_calculate_taps (Scale1D * scale, int src_size, int dest_size,
int n_taps, double a, double sharpness, double sharpen)
{
int j;
double *tap_array;
gint32 *offsets;
double scale_offset;
double scale_increment;
int dx;
double fx;
double ex;
scale->scale = src_size / (double) dest_size;
scale->offset = scale->scale / 2 - 0.5;
if (scale->scale > 1.0) {
scale->fx = (1.0 / scale->scale) * sharpness;
} else {
scale->fx = (1.0) * sharpness;
}
scale->ex = scale->fx / a;
scale->dx = ceil (a / scale->fx);
g_assert (n_taps >= 2 * scale->dx);
scale->n_taps = n_taps;
scale->taps = g_malloc (sizeof (double) * scale->n_taps * dest_size);
scale->offsets = g_malloc (sizeof (gint32) * dest_size);
tap_array = scale->taps;
offsets = scale->offsets;
scale_offset = scale->offset;
scale_increment = scale->scale;
dx = scale->dx;
fx = scale->fx;
ex = scale->ex;
for (j = 0; j < dest_size; j++) {
double x;
int xi;
int l;
double weight;
double *taps;
x = scale_offset + scale_increment * j;
x = CLAMP (x, 0, src_size);
xi = ceil (x) - dx;
offsets[j] = xi;
weight = 0;
taps = tap_array + j * n_taps;
for (l = 0; l < n_taps; l++) {
int xl = xi + l;
taps[l] = sinc ((x - xl) * fx) * envelope ((x - xl) * ex);
taps[l] -= sharpen * envelope ((x - xl) * ex);
weight += taps[l];
}
g_assert (envelope ((x - (xi - 1)) * ex) == 0);
g_assert (envelope ((x - (xi + n_taps)) * ex) == 0);
for (l = 0; l < n_taps; l++) {
taps[l] /= weight;
}
if (xi < 0) {
int shift = -xi;
for (l = 0; l < shift; l++) {
taps[shift] += taps[l];
}
for (l = 0; l < n_taps - shift; l++) {
taps[l] = taps[shift + l];
}
for (; l < n_taps; l++) {
taps[l] = 0;
}
offsets[j] += shift;
}
if (xi > src_size - n_taps) {
int shift = xi - (src_size - n_taps);
for (l = 0; l < shift; l++) {
taps[n_taps - shift - 1] += taps[n_taps - shift + l];
}
for (l = 0; l < n_taps - shift; l++) {
taps[n_taps - 1 - l] = taps[n_taps - 1 - shift - l];
}
for (l = 0; l < shift; l++) {
taps[l] = 0;
}
offsets[j] -= shift;
}
}
}
/*
* Calculates a set of taps for each destination element in float
* format. Each set of taps sums to 1.0.
*/
static void
scale1d_calculate_taps_float (Scale1D * scale, int src_size, int dest_size,
int n_taps, double a, double sharpness, double sharpen)
{
double *taps_d;
float *taps_f;
int j;
scale1d_calculate_taps (scale, src_size, dest_size, n_taps, a, sharpness,
sharpen);
taps_d = scale->taps;
taps_f = g_malloc (sizeof (float) * scale->n_taps * dest_size);
for (j = 0; j < dest_size * n_taps; j++) {
taps_f[j] = taps_d[j];
}
g_free (taps_d);
scale->taps = taps_f;
}
/*
* Calculates a set of taps for each destination element in gint32
* format. Each set of taps sums to (very nearly) (1<<shift). A
* typical value for shift is 10 to 15, so that applying the taps to
* uint8 values and summing will fit in a (signed) int32.
*/
static void
scale1d_calculate_taps_int32 (Scale1D * scale, int src_size, int dest_size,
int n_taps, double a, double sharpness, double sharpen, int shift)
{
double *taps_d;
gint32 *taps_i;
int i;
int j;
double multiplier;
scale1d_calculate_taps (scale, src_size, dest_size, n_taps, a, sharpness,
sharpen);
taps_d = scale->taps;
taps_i = g_malloc (sizeof (gint32) * scale->n_taps * dest_size);
multiplier = (1 << shift);
for (j = 0; j < dest_size; j++) {
for (i = 0; i < n_taps; i++) {
taps_i[j * n_taps + i] =
floor (0.5 + taps_d[j * n_taps + i] * multiplier);
}
}
g_free (taps_d);
scale->taps = taps_i;
}
/*
* Calculates a set of taps for each destination element in gint16
* format. Each set of taps sums to (1<<shift). A typical value
* for shift is 7, so that applying the taps to uint8 values and
* summing will fit in a (signed) int16.
*/
static void
scale1d_calculate_taps_int16 (Scale1D * scale, int src_size, int dest_size,
int n_taps, double a, double sharpness, double sharpen, int shift)
{
double *taps_d;
gint16 *taps_i;
int i;
int j;
double multiplier;
scale1d_calculate_taps (scale, src_size, dest_size, n_taps, a, sharpness,
sharpen);
taps_d = scale->taps;
taps_i = g_malloc (sizeof (gint16) * scale->n_taps * dest_size);
multiplier = (1 << shift);
/* Various methods for converting floating point taps to integer.
* The dB values are the SSIM value between scaling an image via
* the floating point pathway vs. the integer pathway using the
* given code to generate the taps. Only one image was tested,
* scaling from 1920x1080 to 640x360. Several variations of the
* methods were also tested, with nothing appearing useful. */
#if 0
/* Standard round to integer. This causes bad DC errors. */
/* 44.588 dB */
for (j = 0; j < dest_size; j++) {
for (i = 0; i < n_taps; i++) {
taps_i[j * n_taps + i] =
floor (0.5 + taps_d[j * n_taps + i] * multiplier);
}
}
#endif
#if 0
/* Dithering via error propogation. Works pretty well, but
* really we want to propogate errors across rows, which would
* mean having several sets of tap arrays. Possible, but more work,
* and it may not even be better. */
/* 57.0961 dB */
{
double err = 0;
for (j = 0; j < dest_size; j++) {
for (i = 0; i < n_taps; i++) {
err += taps_d[j * n_taps + i] * multiplier;
taps_i[j * n_taps + i] = floor (err);
err -= floor (err);
}
}
}
#endif
#if 1
/* Round to integer, but with an adjustable bias that we use to
* eliminate the DC error. This search method is a bit crude, and
* could perhaps be improved somewhat. */
/* 60.4851 dB */
for (j = 0; j < dest_size; j++) {
int k;
for (k = 0; k < 100; k++) {
int sum = 0;
double offset;
offset = k * 0.01;
for (i = 0; i < n_taps; i++) {
taps_i[j * n_taps + i] =
floor (offset + taps_d[j * n_taps + i] * multiplier);
sum += taps_i[j * n_taps + i];
}
if (sum >= (1 << shift))
break;
}
}
#endif
#if 0
/* Round to integer, but adjust the multiplier. The search method is
* wrong a lot, but was sufficient enough to calculate dB error. */
/* 58.6517 dB */
for (j = 0; j < dest_size; j++) {
int k;
int sum = 0;
for (k = 0; k < 200; k++) {
sum = 0;
multiplier = (1 << shift) - 1.0 + k * 0.01;
for (i = 0; i < n_taps; i++) {
taps_i[j * n_taps + i] =
floor (0.5 + taps_d[j * n_taps + i] * multiplier);
sum += taps_i[j * n_taps + i];
}
if (sum >= (1 << shift))
break;
}
if (sum != (1 << shift)) {
GST_ERROR ("%g %d", multiplier, sum);
}
}
#endif
#if 0
/* Round to integer, but subtract the error from the largest tap */
/* 58.3677 dB */
for (j = 0; j < dest_size; j++) {
int err = -multiplier;
for (i = 0; i < n_taps; i++) {
taps_i[j * n_taps + i] =
floor (0.5 + taps_d[j * n_taps + i] * multiplier);
err += taps_i[j * n_taps + i];
}
if (taps_i[j * n_taps + (n_taps / 2 - 1)] >
taps_i[j * n_taps + (n_taps / 2)]) {
taps_i[j * n_taps + (n_taps / 2 - 1)] -= err;
} else {
taps_i[j * n_taps + (n_taps / 2)] -= err;
}
}
#endif
g_free (taps_d);
scale->taps = taps_i;
}
void
vs_image_scale_lanczos_Y (const VSImage * dest, const VSImage * src,
uint8_t * tmpbuf, double sharpness, gboolean dither, int submethod,
double a, double sharpen)
{
switch (submethod) {
case 0:
default:
vs_image_scale_lanczos_Y_int16 (dest, src, tmpbuf, sharpness, dither, a,
sharpen);
break;
case 1:
vs_image_scale_lanczos_Y_int32 (dest, src, tmpbuf, sharpness, dither, a,
sharpen);
break;
case 2:
vs_image_scale_lanczos_Y_float (dest, src, tmpbuf, sharpness, dither, a,
sharpen);
break;
case 3:
vs_image_scale_lanczos_Y_double (dest, src, tmpbuf, sharpness, dither, a,
sharpen);
break;
}
}
void
vs_image_scale_lanczos_AYUV (const VSImage * dest, const VSImage * src,
uint8_t * tmpbuf, double sharpness, gboolean dither, int submethod,
double a, double sharpen)
{
switch (submethod) {
case 0:
default:
vs_image_scale_lanczos_AYUV_int16 (dest, src, tmpbuf, sharpness, dither,
a, sharpen);
break;
case 1:
vs_image_scale_lanczos_AYUV_int32 (dest, src, tmpbuf, sharpness, dither,
a, sharpen);
break;
case 2:
vs_image_scale_lanczos_AYUV_float (dest, src, tmpbuf, sharpness, dither,
a, sharpen);
break;
case 3:
vs_image_scale_lanczos_AYUV_double (dest, src, tmpbuf, sharpness, dither,
a, sharpen);
break;
}
}
void
vs_image_scale_lanczos_AYUV64 (const VSImage * dest, const VSImage * src,
uint8_t * tmpbuf, double sharpness, gboolean dither, int submethod,
double a, double sharpen)
{
vs_image_scale_lanczos_AYUV64_double (dest, src, tmpbuf, sharpness, dither,
a, sharpen);
}
#define RESAMPLE_HORIZ_FLOAT(function, dest_type, tap_type, src_type, _n_taps) \
static void \
function (dest_type *dest, const gint32 *offsets, \
const tap_type *taps, const src_type *src, int n_taps, int shift, int n) \
{ \
int i; \
int k; \
dest_type sum; \
const src_type *srcline; \
const tap_type *tapsline; \
for (i = 0; i < n; i++) { \
srcline = src + offsets[i]; \
tapsline = taps + i * _n_taps; \
sum = 0; \
for (k = 0; k < _n_taps; k++) { \
sum += srcline[k] * tapsline[k]; \
} \
dest[i] = sum; \
} \
}
#define RESAMPLE_HORIZ(function, dest_type, tap_type, src_type, _n_taps, _shift) \
static void \
function (dest_type *dest, const gint32 *offsets, \
const tap_type *taps, const src_type *src, int n_taps, int shift, int n) \
{ \
int i; \
int k; \
dest_type sum; \
const src_type *srcline; \
const tap_type *tapsline; \
int offset; \
if (_shift > 0) offset = (1<<_shift)>>1; \
else offset = 0; \
for (i = 0; i < n; i++) { \
srcline = src + offsets[i]; \
tapsline = taps + i * _n_taps; \
sum = 0; \
for (k = 0; k < _n_taps; k++) { \
sum += srcline[k] * tapsline[k]; \
} \
dest[i] = (sum + offset) >> _shift; \
} \
}
#define RESAMPLE_HORIZ_AYUV_FLOAT(function, dest_type, tap_type, src_type, _n_taps) \
static void \
function (dest_type *dest, const gint32 *offsets, \
const tap_type *taps, const src_type *src, int n_taps, int shift, int n) \
{ \
int i; \
int k; \
dest_type sum1; \
dest_type sum2; \
dest_type sum3; \
dest_type sum4; \
const src_type *srcline; \
const tap_type *tapsline; \
for (i = 0; i < n; i++) { \
srcline = src + 4*offsets[i]; \
tapsline = taps + i * _n_taps; \
sum1 = 0; \
sum2 = 0; \
sum3 = 0; \
sum4 = 0; \
for (k = 0; k < _n_taps; k++) { \
sum1 += srcline[k*4+0] * tapsline[k]; \
sum2 += srcline[k*4+1] * tapsline[k]; \
sum3 += srcline[k*4+2] * tapsline[k]; \
sum4 += srcline[k*4+3] * tapsline[k]; \
} \
dest[i*4+0] = sum1; \
dest[i*4+1] = sum2; \
dest[i*4+2] = sum3; \
dest[i*4+3] = sum4; \
} \
}
#define RESAMPLE_HORIZ_AYUV(function, dest_type, tap_type, src_type, _n_taps, _shift) \
static void \
function (dest_type *dest, const gint32 *offsets, \
const tap_type *taps, const src_type *src, int n_taps, int shift, int n) \
{ \
int i; \
int k; \
dest_type sum1; \
dest_type sum2; \
dest_type sum3; \
dest_type sum4; \
const src_type *srcline; \
const tap_type *tapsline; \
int offset; \
if (_shift > 0) offset = (1<<_shift)>>1; \
else offset = 0; \
for (i = 0; i < n; i++) { \
srcline = src + 4*offsets[i]; \
tapsline = taps + i * _n_taps; \
sum1 = 0; \
sum2 = 0; \
sum3 = 0; \
sum4 = 0; \
for (k = 0; k < _n_taps; k++) { \
sum1 += srcline[k*4+0] * tapsline[k]; \
sum2 += srcline[k*4+1] * tapsline[k]; \
sum3 += srcline[k*4+2] * tapsline[k]; \
sum4 += srcline[k*4+3] * tapsline[k]; \
} \
dest[i*4+0] = (sum1 + offset) >> _shift; \
dest[i*4+1] = (sum2 + offset) >> _shift; \
dest[i*4+2] = (sum3 + offset) >> _shift; \
dest[i*4+3] = (sum4 + offset) >> _shift; \
} \
}
/* *INDENT-OFF* */
RESAMPLE_HORIZ_FLOAT (resample_horiz_double_u8_generic, double, double,
guint8, n_taps)
RESAMPLE_HORIZ_FLOAT (resample_horiz_float_u8_generic, float, float,
guint8, n_taps)
RESAMPLE_HORIZ_AYUV_FLOAT (resample_horiz_double_ayuv_generic, double, double,
guint8, n_taps)
RESAMPLE_HORIZ_AYUV_FLOAT (resample_horiz_float_ayuv_generic, float, float,
guint8, n_taps)
RESAMPLE_HORIZ (resample_horiz_int32_int32_u8_generic, gint32, gint32,
guint8, n_taps, shift)
RESAMPLE_HORIZ (resample_horiz_int16_int16_u8_generic, gint16, gint16,
guint8, n_taps, shift)
RESAMPLE_HORIZ_AYUV (resample_horiz_int32_int32_ayuv_generic, gint32, gint32,
guint8, n_taps, shift)
RESAMPLE_HORIZ_AYUV (resample_horiz_int16_int16_ayuv_generic, gint16, gint16,
guint8, n_taps, shift)
/* Candidates for orcification */
RESAMPLE_HORIZ (resample_horiz_int32_int32_u8_taps16_shift0, gint32, gint32,
guint8, 16, 0)
RESAMPLE_HORIZ (resample_horiz_int32_int32_u8_taps12_shift0, gint32, gint32,
guint8, 12, 0)
RESAMPLE_HORIZ (resample_horiz_int32_int32_u8_taps8_shift0, gint32, gint32,
guint8, 8, 0)
RESAMPLE_HORIZ (resample_horiz_int32_int32_u8_taps4_shift0, gint32, gint32,
guint8, 4, 0)
RESAMPLE_HORIZ (resample_horiz_int16_int16_u8_taps16_shift0, gint16, gint16,
guint8, 16, 0)
RESAMPLE_HORIZ (resample_horiz_int16_int16_u8_taps12_shift0, gint16, gint16,
guint8, 12, 0)
RESAMPLE_HORIZ (resample_horiz_int16_int16_u8_taps8_shift0, gint16, gint16,
guint8, 8, 0)
RESAMPLE_HORIZ (resample_horiz_int16_int16_u8_taps4_shift0, gint16, gint16,
guint8, 4, 0)
RESAMPLE_HORIZ_AYUV (resample_horiz_int32_int32_ayuv_taps16_shift0, gint32, gint32,
guint8, 16, 0)
RESAMPLE_HORIZ_AYUV (resample_horiz_int32_int32_ayuv_taps12_shift0, gint32, gint32,
guint8, 12, 0)
RESAMPLE_HORIZ_AYUV (resample_horiz_int32_int32_ayuv_taps8_shift0, gint32, gint32,
guint8, 8, 0)
RESAMPLE_HORIZ_AYUV (resample_horiz_int32_int32_ayuv_taps4_shift0, gint32, gint32,
guint8, 4, 0)
RESAMPLE_HORIZ_AYUV (resample_horiz_int16_int16_ayuv_taps16_shift0, gint16, gint16,
guint8, 16, 0)
RESAMPLE_HORIZ_AYUV (resample_horiz_int16_int16_ayuv_taps12_shift0, gint16, gint16,
guint8, 12, 0)
RESAMPLE_HORIZ_AYUV (resample_horiz_int16_int16_ayuv_taps8_shift0, gint16, gint16,
guint8, 8, 0)
RESAMPLE_HORIZ_AYUV (resample_horiz_int16_int16_ayuv_taps4_shift0, gint16, gint16,
guint8, 4, 0)
/* *INDENT-ON* */
#define RESAMPLE_VERT(function, tap_type, src_type, _n_taps, _shift) \
static void \
function (guint8 *dest, \
const tap_type *taps, const src_type *src, int stride, int n_taps, \
int shift, int n) \
{ \
int i; \
int l; \
gint32 sum_y; \
gint32 offset = (1<<_shift) >> 1; \
for (i = 0; i < n; i++) { \
sum_y = 0; \
for (l = 0; l < n_taps; l++) { \
const src_type *line = PTR_OFFSET(src, stride * l); \
sum_y += line[i] * taps[l]; \
} \
dest[i] = CLAMP ((sum_y + offset) >> _shift, 0, 255); \
} \
}
#define RESAMPLE_VERT_DITHER(function, tap_type, src_type, _n_taps, _shift) \
static void \
function (guint8 *dest, \
const tap_type *taps, const src_type *src, int stride, int n_taps, \
int shift, int n) \
{ \
int i; \
int l; \
gint32 sum_y; \
gint32 err_y = 0; \
gint32 mask = (1<<_shift) - 1; \
for (i = 0; i < n; i++) { \
sum_y = 0; \
for (l = 0; l < n_taps; l++) { \
const src_type *line = PTR_OFFSET(src, stride * l); \
sum_y += line[i] * taps[l]; \
} \
err_y += sum_y; \
dest[i] = CLAMP (err_y >> _shift, 0, 255); \
err_y &= mask; \
} \
}
/* *INDENT-OFF* */
RESAMPLE_VERT (resample_vert_int32_generic, gint32, gint32, n_taps, shift)
RESAMPLE_VERT_DITHER (resample_vert_dither_int32_generic, gint32, gint32,
n_taps, shift)
RESAMPLE_VERT (resample_vert_int16_generic, gint16, gint16, n_taps, shift);
RESAMPLE_VERT_DITHER (resample_vert_dither_int16_generic, gint16, gint16,
n_taps, shift)
/* *INDENT-ON* */
#define RESAMPLE_VERT_FLOAT(function, dest_type, clamp, tap_type, src_type, _n_taps, _shift) \
static void \
function (dest_type *dest, \
const tap_type *taps, const src_type *src, int stride, int n_taps, \
int shift, int n) \
{ \
int i; \
int l; \
src_type sum_y; \
for (i = 0; i < n; i++) { \
sum_y = 0; \
for (l = 0; l < n_taps; l++) { \
const src_type *line = PTR_OFFSET(src, stride * l); \
sum_y += line[i] * taps[l]; \
} \
dest[i] = CLAMP (floor(0.5 + sum_y), 0, clamp); \
} \
}
#define RESAMPLE_VERT_FLOAT_DITHER(function, dest_type, clamp, tap_type, src_type, _n_taps, _shift) \
static void \
function (dest_type *dest, \
const tap_type *taps, const src_type *src, int stride, int n_taps, \
int shift, int n) \
{ \
int i; \
int l; \
src_type sum_y; \
src_type err_y = 0; \
for (i = 0; i < n; i++) { \
sum_y = 0; \
for (l = 0; l < n_taps; l++) { \
const src_type *line = PTR_OFFSET(src, stride * l); \
sum_y += line[i] * taps[l]; \
} \
err_y += sum_y; \
dest[i] = CLAMP (floor (err_y), 0, clamp); \
err_y -= floor (err_y); \
} \
}
/* *INDENT-OFF* */
RESAMPLE_VERT_FLOAT (resample_vert_double_generic, guint8, 255, double, double, n_taps,
shift)
RESAMPLE_VERT_FLOAT_DITHER (resample_vert_dither_double_generic, guint8, 255, double, double,
n_taps, shift)
RESAMPLE_VERT_FLOAT (resample_vert_double_generic_u16, guint16, 65535, double, double, n_taps,
shift)
RESAMPLE_VERT_FLOAT_DITHER (resample_vert_dither_double_generic_u16, guint16, 65535, double, double,
n_taps, shift)
RESAMPLE_VERT_FLOAT (resample_vert_float_generic, guint8, 255, float, float, n_taps, shift)
RESAMPLE_VERT_FLOAT_DITHER (resample_vert_dither_float_generic, guint8, 255, float, float,
n_taps, shift)
/* *INDENT-ON* */
#define S16_SHIFT1 7
#define S16_SHIFT2 7
#define S16_MIDSHIFT 0
#define S16_POSTSHIFT (S16_SHIFT1+S16_SHIFT2-S16_MIDSHIFT)
static void
vs_scale_lanczos_Y_int16 (Scale * scale)
{
int j;
int yi;
int tmp_yi;
tmp_yi = 0;
for (j = 0; j < scale->dest->height; j++) {
guint8 *destline;
gint16 *taps;
destline = scale->dest->pixels + scale->dest->stride * j;
yi = scale->y_scale1d.offsets[j];
while (tmp_yi < yi + scale->y_scale1d.n_taps) {
scale->horiz_resample_func (TMP_LINE_S16 (tmp_yi),
scale->x_scale1d.offsets, scale->x_scale1d.taps, SRC_LINE (tmp_yi),
scale->x_scale1d.n_taps, S16_MIDSHIFT, scale->dest->width);
tmp_yi++;
}
taps = (gint16 *) scale->y_scale1d.taps + j * scale->y_scale1d.n_taps;
if (scale->dither) {
resample_vert_dither_int16_generic (destline,
taps, TMP_LINE_S16 (scale->y_scale1d.offsets[j]),
sizeof (gint16) * scale->dest->width, scale->y_scale1d.n_taps,
S16_POSTSHIFT, scale->dest->width);
} else {
resample_vert_int16_generic (destline,
taps, TMP_LINE_S16 (scale->y_scale1d.offsets[j]),
sizeof (gint16) * scale->dest->width, scale->y_scale1d.n_taps,
S16_POSTSHIFT, scale->dest->width);
}
}
}
void
vs_image_scale_lanczos_Y_int16 (const VSImage * dest, const VSImage * src,
uint8_t * tmpbuf, double sharpness, gboolean dither, double a,
double sharpen)
{
Scale s = { 0 };
Scale *scale = &s;
int n_taps;
scale->dest = dest;
scale->src = src;
n_taps = scale1d_get_n_taps (src->width, dest->width, a, sharpness);
n_taps = ROUND_UP_4 (n_taps);
scale1d_calculate_taps_int16 (&scale->x_scale1d,
src->width, dest->width, n_taps, a, sharpness, sharpen, S16_SHIFT1);
n_taps = scale1d_get_n_taps (src->height, dest->height, a, sharpness);
scale1d_calculate_taps_int16 (&scale->y_scale1d,
src->height, dest->height, n_taps, a, sharpness, sharpen, S16_SHIFT2);
scale->dither = dither;
switch (scale->x_scale1d.n_taps) {
case 4:
scale->horiz_resample_func =
(HorizResampleFunc) resample_horiz_int16_int16_u8_taps4_shift0;
break;
case 8:
scale->horiz_resample_func =
(HorizResampleFunc) resample_horiz_int16_int16_u8_taps8_shift0;
break;
case 12:
scale->horiz_resample_func =
(HorizResampleFunc) resample_horiz_int16_int16_u8_taps12_shift0;
break;
case 16:
scale->horiz_resample_func =
(HorizResampleFunc) resample_horiz_int16_int16_u8_taps16_shift0;
break;
default:
scale->horiz_resample_func =
(HorizResampleFunc) resample_horiz_int16_int16_u8_generic;
break;
}
scale->tmpdata =
g_malloc (sizeof (gint16) * scale->dest->width * scale->src->height);
vs_scale_lanczos_Y_int16 (scale);
scale1d_cleanup (&scale->x_scale1d);
scale1d_cleanup (&scale->y_scale1d);
g_free (scale->tmpdata);
}
#define S32_SHIFT1 11
#define S32_SHIFT2 11
#define S32_MIDSHIFT 0
#define S32_POSTSHIFT (S32_SHIFT1+S32_SHIFT2-S32_MIDSHIFT)
static void
vs_scale_lanczos_Y_int32 (Scale * scale)
{
int j;
int yi;
int tmp_yi;
tmp_yi = 0;
for (j = 0; j < scale->dest->height; j++) {
guint8 *destline;
gint32 *taps;
destline = scale->dest->pixels + scale->dest->stride * j;
yi = scale->y_scale1d.offsets[j];
while (tmp_yi < yi + scale->y_scale1d.n_taps) {
scale->horiz_resample_func (TMP_LINE_S32 (tmp_yi),
scale->x_scale1d.offsets, scale->x_scale1d.taps, SRC_LINE (tmp_yi),
scale->x_scale1d.n_taps, S32_MIDSHIFT, scale->dest->width);
tmp_yi++;
}
taps = (gint32 *) scale->y_scale1d.taps + j * scale->y_scale1d.n_taps;
if (scale->dither) {
resample_vert_dither_int32_generic (destline,
taps, TMP_LINE_S32 (scale->y_scale1d.offsets[j]),
sizeof (gint32) * scale->dest->width,
scale->y_scale1d.n_taps, S32_POSTSHIFT, scale->dest->width);
} else {
resample_vert_int32_generic (destline,
taps, TMP_LINE_S32 (scale->y_scale1d.offsets[j]),
sizeof (gint32) * scale->dest->width,
scale->y_scale1d.n_taps, S32_POSTSHIFT, scale->dest->width);
}
}
}
void
vs_image_scale_lanczos_Y_int32 (const VSImage * dest, const VSImage * src,
uint8_t * tmpbuf, double sharpness, gboolean dither, double a,
double sharpen)
{
Scale s = { 0 };
Scale *scale = &s;
int n_taps;
scale->dest = dest;
scale->src = src;
n_taps = scale1d_get_n_taps (src->width, dest->width, a, sharpness);
n_taps = ROUND_UP_4 (n_taps);
scale1d_calculate_taps_int32 (&scale->x_scale1d,
src->width, dest->width, n_taps, a, sharpness, sharpen, S32_SHIFT1);
n_taps = scale1d_get_n_taps (src->height, dest->height, a, sharpness);
scale1d_calculate_taps_int32 (&scale->y_scale1d,
src->height, dest->height, n_taps, a, sharpness, sharpen, S32_SHIFT2);
scale->dither = dither;
switch (scale->x_scale1d.n_taps) {
case 4:
scale->horiz_resample_func =
(HorizResampleFunc) resample_horiz_int32_int32_u8_taps4_shift0;
break;
case 8:
scale->horiz_resample_func =
(HorizResampleFunc) resample_horiz_int32_int32_u8_taps8_shift0;
break;
case 12:
scale->horiz_resample_func =
(HorizResampleFunc) resample_horiz_int32_int32_u8_taps12_shift0;
break;
case 16:
scale->horiz_resample_func =
(HorizResampleFunc) resample_horiz_int32_int32_u8_taps16_shift0;
break;
default:
scale->horiz_resample_func =
(HorizResampleFunc) resample_horiz_int32_int32_u8_generic;
break;
}
scale->tmpdata =
g_malloc (sizeof (int32_t) * scale->dest->width * scale->src->height);
vs_scale_lanczos_Y_int32 (scale);
scale1d_cleanup (&scale->x_scale1d);
scale1d_cleanup (&scale->y_scale1d);
g_free (scale->tmpdata);
}
static void
vs_scale_lanczos_Y_double (Scale * scale)
{
int j;
int yi;
int tmp_yi;
tmp_yi = 0;
for (j = 0; j < scale->dest->height; j++) {
guint8 *destline;
double *taps;
destline = scale->dest->pixels + scale->dest->stride * j;
yi = scale->y_scale1d.offsets[j];
while (tmp_yi < yi + scale->y_scale1d.n_taps) {
scale->horiz_resample_func (TMP_LINE_DOUBLE (tmp_yi),
scale->x_scale1d.offsets, scale->x_scale1d.taps, SRC_LINE (tmp_yi),
scale->x_scale1d.n_taps, 0, scale->dest->width);
tmp_yi++;
}
taps = (double *) scale->y_scale1d.taps + j * scale->y_scale1d.n_taps;
if (scale->dither) {
resample_vert_dither_double_generic (destline,
taps, TMP_LINE_DOUBLE (scale->y_scale1d.offsets[j]),
sizeof (double) * scale->dest->width,
scale->y_scale1d.n_taps, 0, scale->dest->width);
} else {
resample_vert_double_generic (destline,
taps, TMP_LINE_DOUBLE (scale->y_scale1d.offsets[j]),
sizeof (double) * scale->dest->width,
scale->y_scale1d.n_taps, 0, scale->dest->width);
}
}
}
void
vs_image_scale_lanczos_Y_double (const VSImage * dest, const VSImage * src,
uint8_t * tmpbuf, double sharpness, gboolean dither, double a,
double sharpen)
{
Scale s = { 0 };
Scale *scale = &s;
int n_taps;
scale->dest = dest;
scale->src = src;
n_taps = scale1d_get_n_taps (src->width, dest->width, a, sharpness);
scale1d_calculate_taps (&scale->x_scale1d,
src->width, dest->width, n_taps, a, sharpness, sharpen);
n_taps = scale1d_get_n_taps (src->height, dest->height, a, sharpness);
scale1d_calculate_taps (&scale->y_scale1d,
src->height, dest->height, n_taps, a, sharpness, sharpen);
scale->dither = dither;
scale->horiz_resample_func =
(HorizResampleFunc) resample_horiz_double_u8_generic;
scale->tmpdata =
g_malloc (sizeof (double) * scale->dest->width * scale->src->height);
vs_scale_lanczos_Y_double (scale);
scale1d_cleanup (&scale->x_scale1d);
scale1d_cleanup (&scale->y_scale1d);
g_free (scale->tmpdata);
}
static void
vs_scale_lanczos_Y_float (Scale * scale)
{
int j;
int yi;
int tmp_yi;
tmp_yi = 0;
for (j = 0; j < scale->dest->height; j++) {
guint8 *destline;
float *taps;
destline = scale->dest->pixels + scale->dest->stride * j;
yi = scale->y_scale1d.offsets[j];
while (tmp_yi < yi + scale->y_scale1d.n_taps) {
scale->horiz_resample_func (TMP_LINE_FLOAT (tmp_yi),
scale->x_scale1d.offsets, scale->x_scale1d.taps, SRC_LINE (tmp_yi),
scale->x_scale1d.n_taps, 0, scale->dest->width);
tmp_yi++;
}
taps = (float *) scale->y_scale1d.taps + j * scale->y_scale1d.n_taps;
if (scale->dither) {
resample_vert_dither_float_generic (destline,
taps, TMP_LINE_FLOAT (scale->y_scale1d.offsets[j]),
sizeof (float) * scale->dest->width,
scale->y_scale1d.n_taps, 0, scale->dest->width);
} else {
resample_vert_float_generic (destline,
taps, TMP_LINE_FLOAT (scale->y_scale1d.offsets[j]),
sizeof (float) * scale->dest->width,
scale->y_scale1d.n_taps, 0, scale->dest->width);
}
}
}
void
vs_image_scale_lanczos_Y_float (const VSImage * dest, const VSImage * src,
uint8_t * tmpbuf, double sharpness, gboolean dither, double a,
double sharpen)
{
Scale s = { 0 };
Scale *scale = &s;
int n_taps;
scale->dest = dest;
scale->src = src;
n_taps = scale1d_get_n_taps (src->width, dest->width, a, sharpness);
scale1d_calculate_taps_float (&scale->x_scale1d,
src->width, dest->width, n_taps, a, sharpness, sharpen);
n_taps = scale1d_get_n_taps (src->height, dest->height, a, sharpness);
scale1d_calculate_taps_float (&scale->y_scale1d,
src->height, dest->height, n_taps, a, sharpness, sharpen);
scale->dither = dither;
scale->horiz_resample_func =
(HorizResampleFunc) resample_horiz_float_u8_generic;
scale->tmpdata =
g_malloc (sizeof (float) * scale->dest->width * scale->src->height);
vs_scale_lanczos_Y_float (scale);
scale1d_cleanup (&scale->x_scale1d);
scale1d_cleanup (&scale->y_scale1d);
g_free (scale->tmpdata);
}
static void
vs_scale_lanczos_AYUV_int16 (Scale * scale)
{
int j;
int yi;
int tmp_yi;
tmp_yi = 0;
for (j = 0; j < scale->dest->height; j++) {
guint8 *destline;
gint16 *taps;
destline = scale->dest->pixels + scale->dest->stride * j;
yi = scale->y_scale1d.offsets[j];
while (tmp_yi < yi + scale->y_scale1d.n_taps) {
scale->horiz_resample_func (TMP_LINE_S16_AYUV (tmp_yi),
scale->x_scale1d.offsets, scale->x_scale1d.taps, SRC_LINE (tmp_yi),
scale->x_scale1d.n_taps, S16_MIDSHIFT, scale->dest->width);
tmp_yi++;
}
taps = (gint16 *) scale->y_scale1d.taps + j * scale->y_scale1d.n_taps;
if (scale->dither) {
resample_vert_dither_int16_generic (destline,
taps, TMP_LINE_S16_AYUV (scale->y_scale1d.offsets[j]),
sizeof (gint16) * 4 * scale->dest->width,
scale->y_scale1d.n_taps, S16_POSTSHIFT, scale->dest->width * 4);
} else {
resample_vert_int16_generic (destline,
taps, TMP_LINE_S16_AYUV (scale->y_scale1d.offsets[j]),
sizeof (gint16) * 4 * scale->dest->width,
scale->y_scale1d.n_taps, S16_POSTSHIFT, scale->dest->width * 4);
}
}
}
void
vs_image_scale_lanczos_AYUV_int16 (const VSImage * dest, const VSImage * src,
uint8_t * tmpbuf, double sharpness, gboolean dither, double a,
double sharpen)
{
Scale s = { 0 };
Scale *scale = &s;
int n_taps;
scale->dest = dest;
scale->src = src;
n_taps = scale1d_get_n_taps (src->width, dest->width, a, sharpness);
n_taps = ROUND_UP_4 (n_taps);
scale1d_calculate_taps_int16 (&scale->x_scale1d,
src->width, dest->width, n_taps, a, sharpness, sharpen, S16_SHIFT1);
n_taps = scale1d_get_n_taps (src->height, dest->height, a, sharpness);
scale1d_calculate_taps_int16 (&scale->y_scale1d,
src->height, dest->height, n_taps, a, sharpness, sharpen, S16_SHIFT2);
scale->dither = dither;
switch (scale->x_scale1d.n_taps) {
case 4:
scale->horiz_resample_func =
(HorizResampleFunc) resample_horiz_int16_int16_ayuv_taps4_shift0;
break;
case 8:
scale->horiz_resample_func =
(HorizResampleFunc) resample_horiz_int16_int16_ayuv_taps8_shift0;
break;
case 12:
scale->horiz_resample_func =
(HorizResampleFunc) resample_horiz_int16_int16_ayuv_taps12_shift0;
break;
case 16:
scale->horiz_resample_func =
(HorizResampleFunc) resample_horiz_int16_int16_ayuv_taps16_shift0;
break;
default:
scale->horiz_resample_func =
(HorizResampleFunc) resample_horiz_int16_int16_ayuv_generic;
break;
}
scale->tmpdata =
g_malloc (sizeof (gint16) * scale->dest->width * scale->src->height * 4);
vs_scale_lanczos_AYUV_int16 (scale);
scale1d_cleanup (&scale->x_scale1d);
scale1d_cleanup (&scale->y_scale1d);
g_free (scale->tmpdata);
}
static void
vs_scale_lanczos_AYUV_int32 (Scale * scale)
{
int j;
int yi;
int tmp_yi;
tmp_yi = 0;
for (j = 0; j < scale->dest->height; j++) {
guint8 *destline;
gint32 *taps;
destline = scale->dest->pixels + scale->dest->stride * j;
yi = scale->y_scale1d.offsets[j];
while (tmp_yi < yi + scale->y_scale1d.n_taps) {
scale->horiz_resample_func (TMP_LINE_S32_AYUV (tmp_yi),
scale->x_scale1d.offsets, scale->x_scale1d.taps, SRC_LINE (tmp_yi),
scale->x_scale1d.n_taps, S32_MIDSHIFT, scale->dest->width);
tmp_yi++;
}
taps = (gint32 *) scale->y_scale1d.taps + j * scale->y_scale1d.n_taps;
if (scale->dither) {
resample_vert_dither_int32_generic (destline,
taps, TMP_LINE_S32_AYUV (scale->y_scale1d.offsets[j]),
sizeof (gint32) * 4 * scale->dest->width, scale->y_scale1d.n_taps,
S32_POSTSHIFT, scale->dest->width * 4);
} else {
resample_vert_int32_generic (destline,
taps, TMP_LINE_S32_AYUV (scale->y_scale1d.offsets[j]),
sizeof (gint32) * 4 * scale->dest->width, scale->y_scale1d.n_taps,
S32_POSTSHIFT, scale->dest->width * 4);
}
}
}
void
vs_image_scale_lanczos_AYUV_int32 (const VSImage * dest, const VSImage * src,
uint8_t * tmpbuf, double sharpness, gboolean dither, double a,
double sharpen)
{
Scale s = { 0 };
Scale *scale = &s;
int n_taps;
scale->dest = dest;
scale->src = src;
n_taps = scale1d_get_n_taps (src->width, dest->width, a, sharpness);
n_taps = ROUND_UP_4 (n_taps);
scale1d_calculate_taps_int32 (&scale->x_scale1d,
src->width, dest->width, n_taps, a, sharpness, sharpen, S32_SHIFT1);
n_taps = scale1d_get_n_taps (src->height, dest->height, a, sharpness);
scale1d_calculate_taps_int32 (&scale->y_scale1d,
src->height, dest->height, n_taps, a, sharpness, sharpen, S32_SHIFT2);
scale->dither = dither;
switch (scale->x_scale1d.n_taps) {
case 4:
scale->horiz_resample_func =
(HorizResampleFunc) resample_horiz_int32_int32_ayuv_taps4_shift0;
break;
case 8:
scale->horiz_resample_func =
(HorizResampleFunc) resample_horiz_int32_int32_ayuv_taps8_shift0;
break;
case 12:
scale->horiz_resample_func =
(HorizResampleFunc) resample_horiz_int32_int32_ayuv_taps12_shift0;
break;
case 16:
scale->horiz_resample_func =
(HorizResampleFunc) resample_horiz_int32_int32_ayuv_taps16_shift0;
break;
default:
scale->horiz_resample_func =
(HorizResampleFunc) resample_horiz_int32_int32_ayuv_generic;
break;
}
scale->tmpdata =
g_malloc (sizeof (int32_t) * scale->dest->width * scale->src->height * 4);
vs_scale_lanczos_AYUV_int32 (scale);
scale1d_cleanup (&scale->x_scale1d);
scale1d_cleanup (&scale->y_scale1d);
g_free (scale->tmpdata);
}
static void
vs_scale_lanczos_AYUV_double (Scale * scale)
{
int j;
int yi;
int tmp_yi;
tmp_yi = 0;
for (j = 0; j < scale->dest->height; j++) {
guint8 *destline;
double *taps;
destline = scale->dest->pixels + scale->dest->stride * j;
yi = scale->y_scale1d.offsets[j];
while (tmp_yi < yi + scale->y_scale1d.n_taps) {
scale->horiz_resample_func (TMP_LINE_DOUBLE_AYUV (tmp_yi),
scale->x_scale1d.offsets, scale->x_scale1d.taps, SRC_LINE (tmp_yi),
scale->x_scale1d.n_taps, 0, scale->dest->width);
tmp_yi++;
}
taps = (double *) scale->y_scale1d.taps + j * scale->y_scale1d.n_taps;
if (scale->dither) {
resample_vert_dither_double_generic (destline,
taps, TMP_LINE_DOUBLE_AYUV (scale->y_scale1d.offsets[j]),
sizeof (double) * 4 * scale->dest->width,
scale->y_scale1d.n_taps, 0, scale->dest->width * 4);
} else {
resample_vert_double_generic (destline,
taps, TMP_LINE_DOUBLE_AYUV (scale->y_scale1d.offsets[j]),
sizeof (double) * 4 * scale->dest->width,
scale->y_scale1d.n_taps, 0, scale->dest->width * 4);
}
}
}
void
vs_image_scale_lanczos_AYUV_double (const VSImage * dest, const VSImage * src,
uint8_t * tmpbuf, double sharpness, gboolean dither, double a,
double sharpen)
{
Scale s = { 0 };
Scale *scale = &s;
int n_taps;
scale->dest = dest;
scale->src = src;
n_taps = scale1d_get_n_taps (src->width, dest->width, a, sharpness);
scale1d_calculate_taps (&scale->x_scale1d,
src->width, dest->width, n_taps, a, sharpness, sharpen);
n_taps = scale1d_get_n_taps (src->height, dest->height, a, sharpness);
scale1d_calculate_taps (&scale->y_scale1d,
src->height, dest->height, n_taps, a, sharpness, sharpen);
scale->dither = dither;
scale->horiz_resample_func =
(HorizResampleFunc) resample_horiz_double_ayuv_generic;
scale->tmpdata =
g_malloc (sizeof (double) * scale->dest->width * scale->src->height * 4);
vs_scale_lanczos_AYUV_double (scale);
scale1d_cleanup (&scale->x_scale1d);
scale1d_cleanup (&scale->y_scale1d);
g_free (scale->tmpdata);
}
static void
vs_scale_lanczos_AYUV_float (Scale * scale)
{
int j;
int yi;
int tmp_yi;
tmp_yi = 0;
for (j = 0; j < scale->dest->height; j++) {
guint8 *destline;
float *taps;
destline = scale->dest->pixels + scale->dest->stride * j;
yi = scale->y_scale1d.offsets[j];
while (tmp_yi < yi + scale->y_scale1d.n_taps) {
scale->horiz_resample_func (TMP_LINE_FLOAT_AYUV (tmp_yi),
scale->x_scale1d.offsets, scale->x_scale1d.taps, SRC_LINE (tmp_yi),
scale->x_scale1d.n_taps, 0, scale->dest->width);
tmp_yi++;
}
taps = (float *) scale->y_scale1d.taps + j * scale->y_scale1d.n_taps;
if (scale->dither) {
resample_vert_dither_float_generic (destline,
taps, TMP_LINE_FLOAT_AYUV (scale->y_scale1d.offsets[j]),
sizeof (float) * 4 * scale->dest->width, scale->y_scale1d.n_taps, 0,
scale->dest->width * 4);
} else {
resample_vert_float_generic (destline,
taps, TMP_LINE_FLOAT_AYUV (scale->y_scale1d.offsets[j]),
sizeof (float) * 4 * scale->dest->width, scale->y_scale1d.n_taps, 0,
scale->dest->width * 4);
}
}
}
void
vs_image_scale_lanczos_AYUV_float (const VSImage * dest, const VSImage * src,
uint8_t * tmpbuf, double sharpness, gboolean dither, double a,
double sharpen)
{
Scale s = { 0 };
Scale *scale = &s;
int n_taps;
scale->dest = dest;
scale->src = src;
n_taps = scale1d_get_n_taps (src->width, dest->width, a, sharpness);
scale1d_calculate_taps_float (&scale->x_scale1d,
src->width, dest->width, n_taps, a, sharpness, sharpen);
n_taps = scale1d_get_n_taps (src->height, dest->height, a, sharpness);
scale1d_calculate_taps_float (&scale->y_scale1d,
src->height, dest->height, n_taps, a, sharpness, sharpen);
scale->dither = dither;
scale->horiz_resample_func =
(HorizResampleFunc) resample_horiz_float_ayuv_generic;
scale->tmpdata =
g_malloc (sizeof (float) * scale->dest->width * scale->src->height * 4);
vs_scale_lanczos_AYUV_float (scale);
scale1d_cleanup (&scale->x_scale1d);
scale1d_cleanup (&scale->y_scale1d);
g_free (scale->tmpdata);
}
static void
vs_scale_lanczos_AYUV64_double (Scale * scale)
{
int j;
int yi;
int tmp_yi;
tmp_yi = 0;
for (j = 0; j < scale->dest->height; j++) {
guint16 *destline;
double *taps;
destline = (guint16 *) (scale->dest->pixels + scale->dest->stride * j);
yi = scale->y_scale1d.offsets[j];
while (tmp_yi < yi + scale->y_scale1d.n_taps) {
scale->horiz_resample_func (TMP_LINE_DOUBLE_AYUV (tmp_yi),
scale->x_scale1d.offsets, scale->x_scale1d.taps, SRC_LINE (tmp_yi),
scale->x_scale1d.n_taps, 0, scale->dest->width);
tmp_yi++;
}
taps = (double *) scale->y_scale1d.taps + j * scale->y_scale1d.n_taps;
if (scale->dither) {
resample_vert_dither_double_generic_u16 (destline,
taps, TMP_LINE_DOUBLE_AYUV (scale->y_scale1d.offsets[j]),
sizeof (double) * 4 * scale->dest->width,
scale->y_scale1d.n_taps, 0, scale->dest->width * 4);
} else {
resample_vert_double_generic_u16 (destline,
taps, TMP_LINE_DOUBLE_AYUV (scale->y_scale1d.offsets[j]),
sizeof (double) * 4 * scale->dest->width,
scale->y_scale1d.n_taps, 0, scale->dest->width * 4);
}
}
}
void
vs_image_scale_lanczos_AYUV64_double (const VSImage * dest, const VSImage * src,
uint8_t * tmpbuf, double sharpness, gboolean dither, double a,
double sharpen)
{
Scale s = { 0 };
Scale *scale = &s;
int n_taps;
scale->dest = dest;
scale->src = src;
n_taps = scale1d_get_n_taps (src->width, dest->width, a, sharpness);
scale1d_calculate_taps (&scale->x_scale1d,
src->width, dest->width, n_taps, a, sharpness, sharpen);
n_taps = scale1d_get_n_taps (src->height, dest->height, a, sharpness);
scale1d_calculate_taps (&scale->y_scale1d,
src->height, dest->height, n_taps, a, sharpness, sharpen);
scale->dither = dither;
scale->horiz_resample_func =
(HorizResampleFunc) resample_horiz_double_ayuv_generic;
scale->tmpdata =
g_malloc (sizeof (double) * scale->dest->width * scale->src->height * 4);
vs_scale_lanczos_AYUV64_double (scale);
scale1d_cleanup (&scale->x_scale1d);
scale1d_cleanup (&scale->y_scale1d);
g_free (scale->tmpdata);
}