diff options
Diffstat (limited to 'SD-VBS/benchmarks/texture_synthesis/src/matlab/blur.m')
| -rwxr-xr-x | SD-VBS/benchmarks/texture_synthesis/src/matlab/blur.m | 28 |
1 files changed, 0 insertions, 28 deletions
diff --git a/SD-VBS/benchmarks/texture_synthesis/src/matlab/blur.m b/SD-VBS/benchmarks/texture_synthesis/src/matlab/blur.m deleted file mode 100755 index f993d09..0000000 --- a/SD-VBS/benchmarks/texture_synthesis/src/matlab/blur.m +++ /dev/null | |||
| @@ -1,28 +0,0 @@ | |||
| 1 | % RES = blur(IM, LEVELS, FILT) | ||
| 2 | % | ||
| 3 | % Blur an image, by filtering and downsampling LEVELS times | ||
| 4 | % (default=1), followed by upsampling and filtering LEVELS times. The | ||
| 5 | % blurring is done with filter kernel specified by FILT (default = | ||
| 6 | % 'binom5'), which can be a string (to be passed to namedFilter), a | ||
| 7 | % vector (applied separably as a 1D convolution kernel in X and Y), or | ||
| 8 | % a matrix (applied as a 2D convolution kernel). The downsampling is | ||
| 9 | % always by 2 in each direction. | ||
| 10 | |||
| 11 | % Eero Simoncelli, 3/04. | ||
| 12 | |||
| 13 | function res = blur(im, nlevs, filt) | ||
| 14 | |||
| 15 | %------------------------------------------------------------ | ||
| 16 | %% OPTIONAL ARGS: | ||
| 17 | |||
| 18 | if (exist('nlevs') ~= 1) | ||
| 19 | nlevs = 1; | ||
| 20 | end | ||
| 21 | |||
| 22 | if (exist('filt') ~= 1) | ||
| 23 | filt = 'binom5'; | ||
| 24 | end | ||
| 25 | |||
| 26 | %------------------------------------------------------------ | ||
| 27 | |||
| 28 | res = upBlur(blurDn(im,nlevs,filt)); \ No newline at end of file | ||
