initial sd-vbs

initial sd-vbs

add sd-vbs

sd-vbs

1 files changed, 28 insertions, 0 deletions

diff --git a/SD-VBS/benchmarks/texture_synthesis/src/matlabPyrTools/blur.m b/SD-VBS/benchmarks/texture_synthesis/src/matlabPyrTools/blur.m
new file mode 100755
index 0000000..f993d09
--- /dev/null
+++ b/SD-VBS/benchmarks/texture_synthesis/src/matlabPyrTools/blur.m
@@ -0,0 +1,28 @@
+% RES = blur(IM, LEVELS, FILT)
+%
+% Blur an image, by filtering and downsampling LEVELS times
+% (default=1), followed by upsampling and filtering LEVELS times.  The
+% blurring is done with filter kernel specified by FILT (default =
+% 'binom5'), which can be a string (to be passed to namedFilter), a
+% vector (applied separably as a 1D convolution kernel in X and Y), or
+% a matrix (applied as a 2D convolution kernel).  The downsampling is
+% always by 2 in each direction.
+
+% Eero Simoncelli, 3/04.
+
+function res = blur(im, nlevs, filt)
+
+%------------------------------------------------------------
+%% OPTIONAL ARGS:
+
+if (exist('nlevs') ~= 1) 
+  nlevs = 1;
+end
+
+if (exist('filt') ~= 1) 
+  filt = 'binom5';
+end
+
+%------------------------------------------------------------
+
+res = upBlur(blurDn(im,nlevs,filt));
\ No newline at end of file