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Forked from zabela/getColourfulness.m
Created March 7, 2022 11:31
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Algorithm to measure images colourfulness, adapted from "Measuring colourfulness in natural images" (Hasler and Susstrunk, 2003) http://infoscience.epfl.ch/record/33994/files/HaslerS03.pdf
function C = getColourfulness( im )
%
% C = getColourfulness( im )
%
% MATLAB algorithm implementation of the
% "Measuring colourfulness in natural images"
% (Hasler and Susstrunk, 2003)
%
% Input:
% im - image in RGB
%
% Output:
% C - colourfulness
%
i = 1;
[W, H, RGB] = size(im);
for x=1:W
for y=1:H
% rg = R - G
rg(i) = abs(double(im(x,y,1)) - double(im(x,y,2)));
% yb = 1/2(R + G) - B
yb(i) = abs(.5 * (double(im(x,y,1)) + double(im(x,y,2))) - double(im(x,y,3)));
i = i+1;
end
end
% standard deviation and the mean value of the pixel
% cloud along direction, respectively
stdRG = std(rg);
meanRG = mean(rg);
stdYB = std(yb);
meanYB = mean(yb);
stdRGYB = sqrt((stdRG)^2 + (stdYB)^2);
meanRGYB = sqrt((meanRG)^2 + (meanYB)^2);
C = stdRGYB + 0.3*meanRGYB;
end
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