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- % imStats(IM1,IM2)
- %
- % Report image (matrix) statistics.
- % When called on a single image IM1, report min, max, mean, stdev, skew,
- % and kurtosis (4th moment about the mean, divided by squared variance)
- %
- % When called on two images (IM1 and IM2), report min, max, mean,
- % stdev of the difference, and also SNR (relative to IM1).
- % Eero Simoncelli, 6/96.
- function [] = imStats(im1,im2)
- if (~isreal(im1))
- error('Args must be real-valued matrices');
- end
- if (exist('im2') == 1)
- difference = im1 - im2;
- [mn,mx] = range2(difference);
- mean = mean2(difference);
- v = var2(difference,mean);
- if (v < realmin)
- snr = Inf;
- else
- snr = 10 * log10(var2(im1)/v);
- end
- fprintf(1, 'Difference statistics:\n');
- fprintf(1, ' Range: [%c, %c]\n',mn,mx);
- fprintf(1, ' Mean: %f, Stdev (rmse): %f, SNR (dB): %f\n',...
- mean,sqrt(v),snr);
- else
- [mn,mx] = range2(im1);
- mean = mean2(im1);
- var = var2(im1,mean);
- stdev = sqrt(real(var))+sqrt(imag(var));
- sk = skew2(im1, mean, stdev^2);
- kurt = kurt2(im1, mean, stdev^2);
- fprintf(1, 'Image statistics:\n');
- fprintf(1, ' Range: [%f, %f]\n',mn,mx);
- fprintf(1, ' Mean: %f, Stdev: %f, Skew: %f, Kurt: %f\n',mean,stdev,sk,kurt);
- end
-
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