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MCS,PHD
Argosy University/ Phoniex University/
Nov-2005 - Oct-2011
Professor
Phoniex University
Oct-2001 - Nov-2016
Suppose that a digital image is subjected to histogram equalization. Show that a second pass of histogram equalization (on the histogram-equalized image) will produce exactly the same result as the first pass
2. In some applications it is useful to model the histogram of input images as Gaussian probability density functions of the form
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where m and are the mean and standard deviation of the Gaussian PDF. The approach is to let m and be measures of average intensity and contrast of a given image. What is the transformation function you would use for histogram equalization?
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