[Pixman] [PATCH v11 11/14] pixman-filter: Negative subsample values produces scaled result

spitzak at gmail.com spitzak at gmail.com
Fri Feb 5 08:49:05 CET 2016


From: Bill Spitzak <spitzak at gmail.com>

If a negative value is used for the subsampling, then -n subsamples are
used at scale==1, and fewer are used at larger scale, more are used at
smaller scale, so that the total number of samples is approximately
the same. The computed value is rounded up to the next power of 2.
This produces much more useful subsampling without the caller having
to alter the subsamples depending on the scale.

The scale demo is modified to allow these negative numbers, and initially
uses -12.

v11: Put subsample calculation in it's own function
     Minor changes to comments

Signed-off-by: Bill Spitzak <spitzak at gmail.com>
---
 demos/scale.ui         |  5 +++--
 pixman/pixman-filter.c | 33 +++++++++++++++++++++++++++++++++
 2 files changed, 36 insertions(+), 2 deletions(-)

diff --git a/demos/scale.ui b/demos/scale.ui
index b62cbfb..1e77f56 100644
--- a/demos/scale.ui
+++ b/demos/scale.ui
@@ -24,12 +24,12 @@
     <property name="page_size">10</property>
   </object>
   <object class="GtkAdjustment" id="subsample_adjustment">
-    <property name="lower">0</property>
+    <property name="lower">-256</property>
     <property name="upper">12</property>
     <property name="step_increment">1</property>
     <property name="page_increment">1</property>
     <property name="page_size">0</property>
-    <property name="value">4</property>
+    <property name="value">-12</property>
   </object>
   <object class="GtkWindow" id="main">
     <child>
@@ -321,6 +321,7 @@
                       <object class="GtkSpinButton" id="subsample_spin_button">
                         <property name="visible">True</property>
 			<property name="adjustment">subsample_adjustment</property>
+			<property name="value">-12</property>
                       </object>
                       <packing>
                         <property name="left_attach">1</property>
diff --git a/pixman/pixman-filter.c b/pixman/pixman-filter.c
index 56e25b1..e57b154 100644
--- a/pixman/pixman-filter.c
+++ b/pixman/pixman-filter.c
@@ -346,6 +346,37 @@ filter_width (pixman_kernel_t reconstruct, pixman_kernel_t sample, double size)
     return ceil (filters[reconstruct].width + size * filters[sample].width);
 }
 
+/* Turn negative number into approximately ceil(ln2(-n / size))
+ * Actual function is somewhat non-linear. For size > 1 it uses
+ * the width/2 of BOX.BOX instead of size. For size < 1 it reduces
+ * the samples by 1/2 as size approaches zero.
+ */
+static int
+subsample_bits (int subsample_bits, pixman_kernel_t sample, double size)
+{
+    if (subsample_bits < 0)
+    {
+	/* The intention was to do -n / size rounded up to the next power of 2,
+	   but this non-linear function seems to work better. For large size
+	   it is the width of the BOX.BOX filter. For small size it reduces
+	   samples by 2 at maximum. */
+	double desired_samples = -subsample_bits;
+	if (sample == PIXMAN_KERNEL_IMPULSE)
+	    ; /* For x.IMPULSE no scaling is done */
+	else if (size >= 1.0)
+	    desired_samples *= 2.0 / (size + 1.0);
+	else
+	    desired_samples *= 2.0 / ((size + 1.0) * size);
+	if (desired_samples <= 1.0)
+	    subsample_bits = 0;
+	else if (desired_samples >= 256.0)
+	    subsample_bits = 8;
+	else
+	    subsample_bits = (int) ceil (log2(desired_samples) - .01);
+    }
+    return subsample_bits;
+}
+
 /* Create the parameter list for a SEPARABLE_CONVOLUTION filter
  * with the given kernels and size parameters
  */
@@ -367,9 +398,11 @@ pixman_filter_create_separable_convolution (int             *n_values,
     int width, height;
 
     width = filter_width (reconstruct_x, sample_x, sx);
+    subsample_bits_x = subsample_bits (subsample_bits_x, sample_x, sx);
     subsample_x = (1 << subsample_bits_x);
 
     height = filter_width (reconstruct_y, sample_y, sy);
+    subsample_bits_y = subsample_bits (subsample_bits_y, sample_y, sy);
     subsample_y = (1 << subsample_bits_y);
 
     *n_values = 4 + width * subsample_x + height * subsample_y;
-- 
1.9.1



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