[cairo] [PATCH 3/6] Add new pixman_filter_create_separable_convolution() API
Søren Sandmann
sandmann at cs.au.dk
Fri Nov 23 20:15:28 PST 2012
From: Søren Sandmann Pedersen <ssp at redhat.com>
This new API is a helper function to create filter parameters suitable
for use with PIXMAN_FILTER_SEPARABLE_CONVOLUTION.
For each dimension, given a scale factor, reconstruction and sample
filter kernels, and a subsampling resolution, this function will
compute a convolution of the two kernels scaled appropriately, then
sample that convolution and return the resulting vectors in a form
suitable for being used as parameters to
PIXMAN_FILTER_SEPARABLE_CONVOLUTION.
The filter kernels offered are the following:
- IMPULSE: Dirac delta function, ie., point sampling
- BOX: Box filter
- LINEAR: Linear filter, aka. "Tent" filter
- CUBIC: Cubic filter, currently Mitchell-Netravali
- GAUSSIAN: Gaussian function, sigma=1, support=3*sigma
- LANCZOS2: Two-lobed Lanczos filter
- LANCZOS3: Three-lobed Lanczos filter
- LANCZOS3_STRETCHED: Three-lobed Lanczos filter, stretched by 4/3.0.
This is the "Nice" filter from Dirty Pixels by
Jim Blinn.
The intended way to use this function is to extract scaling factors
from the transformation and then pass those to this function to get a
filter suitable for compositing with that transformation. The filter
kernels can be chosen according to quality and performance tradeoffs.
To get equivalent quality to GdkPixbuf for downscalings, use BOX for
both reconstruction and sampling. For upscalings, use LINEAR for
reconstruction and IMPULSE for sampling (though note that for
upscaling in both X and Y directions, simply using
PIXMAN_FILTER_BILINEAR will likely be a better choice).
---
pixman/Makefile.sources | 1 +
pixman/pixman-filter.c | 340 +++++++++++++++++++++++++++++++++++++++++++++++
pixman/pixman.h | 27 ++++
3 files changed, 368 insertions(+), 0 deletions(-)
create mode 100644 pixman/pixman-filter.c
diff --git a/pixman/Makefile.sources b/pixman/Makefile.sources
index 5351fb0..c624eb9 100644
--- a/pixman/Makefile.sources
+++ b/pixman/Makefile.sources
@@ -6,6 +6,7 @@ libpixman_sources = \
pixman-combine32.c \
pixman-combine-float.c \
pixman-conical-gradient.c \
+ pixman-filter.c \
pixman-x86.c \
pixman-mips.c \
pixman-arm.c \
diff --git a/pixman/pixman-filter.c b/pixman/pixman-filter.c
new file mode 100644
index 0000000..c9d2dc7
--- /dev/null
+++ b/pixman/pixman-filter.c
@@ -0,0 +1,340 @@
+/*
+ * Copyright 2012, Red Hat, Inc.
+ * Copyright 2012, Soren Sandmann
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a
+ * copy of this software and associated documentation files (the "Software"),
+ * to deal in the Software without restriction, including without limitation
+ * the rights to use, copy, modify, merge, publish, distribute, sublicense,
+ * and/or sell copies of the Software, and to permit persons to whom the
+ * Software is furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice (including the next
+ * paragraph) shall be included in all copies or substantial portions of the
+ * Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
+ * THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
+ * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
+ * DEALINGS IN THE SOFTWARE.
+ *
+ * Author: Soren Sandmann <soren.sandmann at gmail.com>
+ */
+#include <string.h>
+#include <stdlib.h>
+#include <stdio.h>
+#include <math.h>
+#include <assert.h>
+#include <config.h>
+#include "pixman-private.h"
+
+typedef double (* kernel_func_t) (double x);
+
+typedef struct
+{
+ pixman_kernel_t kernel;
+ kernel_func_t func;
+ double width;
+} filter_info_t;
+
+static double
+impulse_kernel (double x)
+{
+ return (x == 0.0)? 1.0 : 0.0;
+}
+
+static double
+box_kernel (double x)
+{
+ return 1;
+}
+
+static double
+linear_kernel (double x)
+{
+ return 1 - fabs (x);
+}
+
+static double
+gaussian_kernel (double x)
+{
+#define SQRT2 (1.4142135623730950488016887242096980785696718753769480)
+#define SIGMA (SQRT2 / 2.0)
+
+ return exp (- x * x / (2 * SIGMA * SIGMA)) / (SIGMA * sqrt (2.0 * M_PI));
+}
+
+static double
+sinc (double x)
+{
+ if (x == 0.0)
+ return 1.0;
+ else
+ return sin (M_PI * x) / (M_PI * x);
+}
+
+static double
+lanczos (double x, int n)
+{
+ return sinc (x) * sinc (x * (1.0 / n));
+}
+
+static double
+lanczos2_kernel (double x)
+{
+ return lanczos (x, 2);
+}
+
+static double
+lanczos3_kernel (double x)
+{
+ return lanczos (x, 3);
+}
+
+static double
+nice_kernel (double x)
+{
+ return lanczos3_kernel (x * 0.75);
+}
+
+static double
+general_cubic (double x, double B, double C)
+{
+ double ax = fabs(x);
+
+ if (ax < 1)
+ {
+ return ((12 - 9 * B - 6 * C) * ax * ax * ax +
+ (-18 + 12 * B + 6 * C) * ax * ax + (6 - 2 * B)) / 6;
+ }
+ else if (ax >= 1 && ax < 2)
+ {
+ return ((-B - 6 * C) * ax * ax * ax +
+ (6 * B + 30 * C) * ax * ax + (-12 * B - 48 * C) *
+ ax + (8 * B + 24 * C)) / 6;
+ }
+ else
+ {
+ return 0;
+ }
+}
+
+static double
+cubic_kernel (double x)
+{
+ /* This is the Mitchell-Netravali filter.
+ *
+ * (0.0, 0.5) would give us the Catmull-Rom spline,
+ * but that one seems to be indistinguishable from Lanczos2.
+ */
+ return general_cubic (x, 1/3.0, 1/3.0);
+}
+
+static const filter_info_t filters[] =
+{
+ { PIXMAN_KERNEL_IMPULSE, impulse_kernel, 0.0 },
+ { PIXMAN_KERNEL_BOX, box_kernel, 1.0 },
+ { PIXMAN_KERNEL_LINEAR, linear_kernel, 2.0 },
+ { PIXMAN_KERNEL_CUBIC, cubic_kernel, 4.0 },
+ { PIXMAN_KERNEL_GAUSSIAN, gaussian_kernel, 6 * SIGMA },
+ { PIXMAN_KERNEL_LANCZOS2, lanczos2_kernel, 4.0 },
+ { PIXMAN_KERNEL_LANCZOS3, lanczos3_kernel, 6.0 },
+ { PIXMAN_KERNEL_LANCZOS3_STRETCHED, nice_kernel, 8.0 },
+};
+
+/* This function scales @kernel2 by @scale, then
+ * aligns @x1 in @kernel1 with @x2 in @kernel2 and
+ * and integrates the product of the kernels across @width.
+ *
+ * This function assumes that the intervals are within
+ * the kernels in question. E.g., the caller must not
+ * try to integrate a linear kernel ouside of [-1:1]
+ */
+static double
+integral (pixman_kernel_t kernel1, double x1,
+ pixman_kernel_t kernel2, double scale, double x2,
+ double width)
+{
+ /* If the integration interval crosses zero, break it into
+ * two separate integrals. This ensures that filters such
+ * as LINEAR that are not differentiable at 0 will still
+ * integrate properly.
+ */
+ if (x1 < 0 && x1 + width > 0)
+ {
+ return
+ integral (kernel1, x1, kernel2, scale, x2, - x1) +
+ integral (kernel1, 0, kernel2, scale, x2 - x1, width + x1);
+ }
+ else if (x2 < 0 && x2 + width > 0)
+ {
+ return
+ integral (kernel1, x1, kernel2, scale, x2, - x2) +
+ integral (kernel1, x1 - x2, kernel2, scale, 0, width + x2);
+ }
+ else if (kernel1 == PIXMAN_KERNEL_IMPULSE)
+ {
+ assert (width == 0.0);
+ return filters[kernel2].func (x2 * scale);
+ }
+ else if (kernel2 == PIXMAN_KERNEL_IMPULSE)
+ {
+ assert (width == 0.0);
+ return filters[kernel1].func (x1);
+ }
+ else
+ {
+ /* Integration via Simpson's rule */
+#define N_SEGMENTS 128
+#define SAMPLE(a1, a2) \
+ (filters[kernel1].func ((a1)) * filters[kernel2].func ((a2) * scale))
+
+ double s = 0.0;
+ double h = width / (double)N_SEGMENTS;
+ int i;
+
+ s = SAMPLE (x1, x2);
+
+ for (i = 1; i < N_SEGMENTS; i += 2)
+ {
+ double a1 = x1 + h * i;
+ double a2 = x2 + h * i;
+
+ s += 2 * SAMPLE (a1, a2);
+
+ if (i >= 2 && i < N_SEGMENTS - 1)
+ s += 4 * SAMPLE (a1, a2);
+ }
+
+ s += SAMPLE (x1 + width, x2 + width);
+
+ return h * s * (1.0 / 3.0);
+ }
+}
+
+static pixman_fixed_t *
+create_1d_filter (int *width,
+ pixman_kernel_t reconstruct,
+ pixman_kernel_t sample,
+ double scale,
+ int n_phases)
+{
+ pixman_fixed_t *params, *p;
+ double step;
+ double size;
+ int i;
+
+ size = scale * filters[sample].width + filters[reconstruct].width;
+ *width = ceil (size);
+
+ p = params = malloc (*width * n_phases * sizeof (pixman_fixed_t));
+
+ step = 1.0 / n_phases;
+
+ for (i = 0; i < n_phases; ++i)
+ {
+ double frac = step / 2.0 + i * step;
+ pixman_fixed_t new_total;
+ int x, x1, x2;
+ double total;
+
+ /* Sample convolution of reconstruction and sampling
+ * filter. See rounding.txt regarding the rounding
+ * and sample positions.
+ */
+
+ x1 = ceil (frac - *width / 2.0 - 0.5);
+ x2 = x1 + *width;
+
+ total = 0;
+ for (x = x1; x < x2; ++x)
+ {
+ double pos = x + 0.5 - frac;
+ double rlow = - filters[reconstruct].width / 2.0;
+ double rhigh = rlow + filters[reconstruct].width;
+ double slow = pos - scale * filters[sample].width / 2.0;
+ double shigh = slow + scale * filters[sample].width;
+ double c = 0.0;
+ double ilow, ihigh;
+
+ if (rhigh >= slow && rlow <= shigh)
+ {
+ ilow = MAX (slow, rlow);
+ ihigh = MIN (shigh, rhigh);
+
+ c = integral (reconstruct, ilow,
+ sample, 1.0 / scale, ilow - pos,
+ ihigh - ilow);
+ }
+
+ total += c;
+ *p++ = (pixman_fixed_t)(c * 65535.0 + 0.5);
+ }
+
+ /* Normalize */
+ p -= *width;
+ total = 1 / total;
+ new_total = 0;
+ for (x = x1; x < x2; ++x)
+ {
+ pixman_fixed_t t = (*p) * total + 0.5;
+
+ new_total += t;
+ *p++ = t;
+ }
+
+ if (new_total != pixman_fixed_1)
+ *(p - *width / 2) += (pixman_fixed_1 - new_total);
+ }
+
+ return params;
+}
+
+/* Create the parameter list for a SEPARABLE_CONVOLUTION filter
+ * with the given kernels and scale parameters
+ */
+PIXMAN_EXPORT pixman_fixed_t *
+pixman_filter_create_separable_convolution (int *n_values,
+ pixman_fixed_t scale_x,
+ pixman_fixed_t scale_y,
+ pixman_kernel_t reconstruct_x,
+ pixman_kernel_t reconstruct_y,
+ pixman_kernel_t sample_x,
+ pixman_kernel_t sample_y,
+ int subsample_bits_x,
+ int subsample_bits_y)
+{
+ double sx = fabs (pixman_fixed_to_double (scale_x));
+ double sy = fabs (pixman_fixed_to_double (scale_y));
+ pixman_fixed_t *horz, *vert, *params;
+ int subsample_x, subsample_y;
+ int width, height;
+
+ subsample_x = (1 << subsample_bits_x);
+ subsample_y = (1 << subsample_bits_y);
+
+ horz = create_1d_filter (&width, reconstruct_x, sample_x, sx, subsample_x);
+ vert = create_1d_filter (&height, reconstruct_y, sample_y, sy, subsample_y);
+
+ *n_values = 4 + width * subsample_x + height * subsample_y;
+
+ params = malloc (*n_values * sizeof (pixman_fixed_t));
+
+ params[0] = pixman_int_to_fixed (width);
+ params[1] = pixman_int_to_fixed (height);
+ params[2] = pixman_int_to_fixed (subsample_bits_x);
+ params[3] = pixman_int_to_fixed (subsample_bits_y);
+
+ memcpy (params + 4, horz,
+ width * subsample_x * sizeof (pixman_fixed_t));
+ memcpy (params + 4 + width * subsample_x, vert,
+ height * subsample_y * sizeof (pixman_fixed_t));
+
+ free (horz);
+ free (vert);
+
+ return params;
+}
diff --git a/pixman/pixman.h b/pixman/pixman.h
index 20c95da..7ff9fb5 100644
--- a/pixman/pixman.h
+++ b/pixman/pixman.h
@@ -831,6 +831,33 @@ int pixman_image_get_height (pixman_image_t
int pixman_image_get_stride (pixman_image_t *image); /* in bytes */
int pixman_image_get_depth (pixman_image_t *image);
pixman_format_code_t pixman_image_get_format (pixman_image_t *image);
+
+typedef enum
+{
+ PIXMAN_KERNEL_IMPULSE,
+ PIXMAN_KERNEL_BOX,
+ PIXMAN_KERNEL_LINEAR,
+ PIXMAN_KERNEL_CUBIC,
+ PIXMAN_KERNEL_GAUSSIAN,
+ PIXMAN_KERNEL_LANCZOS2,
+ PIXMAN_KERNEL_LANCZOS3,
+ PIXMAN_KERNEL_LANCZOS3_STRETCHED /* Jim Blinn's 'nice' filter */
+} pixman_kernel_t;
+
+/* Create the parameter list for a SEPARABLE_CONVOLUTION filter
+ * with the given kernels and scale parameters.
+ */
+pixman_fixed_t *
+pixman_filter_create_separable_convolution (int *n_values,
+ pixman_fixed_t scale_x,
+ pixman_fixed_t scale_y,
+ pixman_kernel_t reconstruct_x,
+ pixman_kernel_t reconstruct_y,
+ pixman_kernel_t sample_x,
+ pixman_kernel_t sample_y,
+ int subsample_bits_x,
+ int subsample_bits_y);
+
pixman_bool_t pixman_image_fill_rectangles (pixman_op_t op,
pixman_image_t *image,
const pixman_color_t *color,
--
1.7.4
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