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-rwxr-xr-xSD-VBS/benchmarks/texture_synthesis/src/matlab/imStats.m41
1 files changed, 0 insertions, 41 deletions
diff --git a/SD-VBS/benchmarks/texture_synthesis/src/matlab/imStats.m b/SD-VBS/benchmarks/texture_synthesis/src/matlab/imStats.m
deleted file mode 100755
index 3d79b4c..0000000
--- a/SD-VBS/benchmarks/texture_synthesis/src/matlab/imStats.m
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@@ -1,41 +0,0 @@
1% imStats(IM1,IM2)
2%
3% Report image (matrix) statistics.
4% When called on a single image IM1, report min, max, mean, stdev,
5% and kurtosis.
6% When called on two images (IM1 and IM2), report min, max, mean,
7% stdev of the difference, and also SNR (relative to IM1).
8
9% Eero Simoncelli, 6/96.
10
11function [] = imStats(im1,im2)
12
13if (~isreal(im1))
14 error('Args must be real-valued matrices');
15end
16
17if (exist('im2') == 1)
18 difference = im1 - im2;
19 [mn,mx] = range2(difference);
20 mean = mean2(difference);
21 v = var2(difference,mean);
22 if (v < realmin)
23 snr = Inf;
24 else
25 snr = 10 * log10(var2(im1)/v);
26 end
27 fprintf(1, 'Difference statistics:\n');
28 fprintf(1, ' Range: [%c, %c]\n',mn,mx);
29 fprintf(1, ' Mean: %f, Stdev (rmse): %f, SNR (dB): %f\n',...
30 mean,sqrt(v),snr);
31else
32 [mn,mx] = range2(im1);
33 mean = mean2(im1);
34 var = var2(im1);
35 stdev = sqrt(real(var))+sqrt(imag(var));
36 kurt = kurt2(im1, mean, stdev^2);
37 fprintf(1, 'Image statistics:\n');
38 fprintf(1, ' Range: [%f, %f]\n',mn,mx);
39 fprintf(1, ' Mean: %f, Stdev: %f, Kurtosis: %f\n',mean,stdev,kurt);
40end
41