Transcription of Histogram Equalization - Home | UCI Mathematics
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Histogram EqualizationHistogram Equalization is a technique for adjusting image intensities to enhance a given image represented as amrbymcmatrix of integer pixel intensities rangingfrom 0 toL the number of possible intensity values, often 256. Letpdenote thenormalized Histogram offwith a bin for each possible intensity. Sopn=number of pixels with intensityntotal number of pixelsn= 0,1, .., L Histogram equalized imagegwill be defined bygi,j= floor((L 1)fi,j n=0pn),(1)where floor() rounds down to the nearest integer. This is equivalent to transforming thepixel intensities,k, offby the functionT(k) = floor((L 1)k n=0pn).
Histogram Equalization Histogram equalization is a technique for adjusting image intensities to enhance contrast. Let f be a given image represented as a m
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