Digital Image Enhancement in Matlab: An Overview on Histogram Equalization and Specification

Rezoana Bente Arif; Mohammad Mahmudur Rahman Khan; Md. Abu Bakr Siddique

doi:10.20944/preprints201902.0089.v3

Preprint Article Version 3 Preserved in Portico This version is not peer-reviewed

Version 3 : Received: 5 February 2019 / Approved: 11 February 2019 / Online: 11 February 2019 (10:42:57 CET)

This paper has two major parts. In the first part histogram equalization for the image enhancement was implemented without using the built-in function in MATLAB. Here, at first, a color image of a rat was chosen and the image was transformed into a grayscale image. After this conversion, histogram equalization was implemented on the grayscale image. Later on, in the same image for each RGB channel, histogram equalization was implemented to observe the effect of histogram equalization on each channel. In the end, the histogram equalization was implemented to this specific color image of a rat. In the second part, for the grayscale image in part 1, the desired histogram of another colored image of a rat was introduced and histogram specification was implemented on the original colored image.

Digital image processing, color image, grayscale image, histogram equalization, histogram specification, image enhancement, RGB channel

MATHEMATICS & COMPUTER SCIENCE, Probability and Statistics

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Digital Image Enhancement in Matlab: An Overview on Histogram Equalization and Specification

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