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Histogram Equalization Implementation by rasika ransing is a document available to read on EtoBox.

This experiment implements histogram equalization on an image to improve contrast. Histogram equalization spreads out intensity values across the full range of values. The steps are: (1) create a histogram of pixel values in the original image, (2) calculate the cumulative distribution function from the histogram, (3) calculate new pixel values using the equalization formula, (4) assign new values to each pixel to create the equalized image. The program performs these steps on the "cameraman.tif" image, dis

Author
rasika ransing
Language
EN