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How to calculate "CONTRAST PER PIXEL(CPP)" of an image

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To measure the quality of an image i'm using Contrast Per pixel(CPP).
It is defined as the average intensity difference between a pixel and its adjacent pixel.
I'm not used to with this metric. If anybody is well known with this metric, please share it.
Thanks

Accepted Answer

Image Analyst
Image Analyst on 4 Jul 2013
Something like this perhaps (untested)
kernel = [-1, -1, -1, -1, 8, -1, -1, -1]/8;
diffImage = conv2(double(grayImage), kernel, 'same');
cpp = mean2(diffImage);
  3 Comments
Image Analyst
Image Analyst on 4 Jul 2013
Edited: Image Analyst on 4 Jul 2013
Conv2() is a sliding filter. I made a 3 by 3 window that basically takes the (center - upper left) + (center - top left) + (center - upper right) + (center - left) + (center - right) + (center - lower left) + (center - bottom left) + (center - lower right). That is the sum of all the differences between the center and the 8 surrounding pixels. Then I divide by 8 to get the average difference between a pixel and it's neighbors. The conv2() function just does that operation on every single pixel in the image as it slides that window along pixel-by-pixel and carries out those operations. Then we have an image where each pixel is the average difference between the original pixel at that location and the 8 neighbors. The mean2 simply gets the mean over all the pixels.
You would have to have a metric that models human perception. I'm not aware of any, but you might check here: http://en.wikipedia.org/wiki/Video_quality
Tuhin  Sheikh
Tuhin Sheikh on 7 Jul 2013
Thanks for the explanation and the suggestions sir

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More Answers (1)

shree san
shree san on 10 Oct 2017
Dear sir/Madam, Thank you so much for the above code. It helped me to calculate the contrast per pixel. But my output gives negative values. Is that right and how I can say the best contrast enhanced image from the output?
output I got is -58.3770 original image
-499.6260 contrast enhanced image
Looking for a favourable answer. Thank you
  2 Comments
Image Analyst
Image Analyst on 12 Oct 2017
Yes, it is possible to get a negative Laplacian for some pixels. I don't know how you got your numbers. To get a nice contrast adjustment, try imadjust().

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