Histogram equalization matlab code without histeq | Contrast Enhancement |MATLAB Image Processing |

In this MATLAB Image Processing tutorial for beginners we explained that Histogram equalization can be done using histeq function in MATLAB. We Implemented histogram equalization matlab code without histeq function. Histogram equalization is a process to uniformly distribute the light intensity values all over image. This will help user to learn histogram equalization algorithm and how to implement such mathematical related algorithms of digital image processing in MATLAB or Gnu Octave from scratch.

First we look into what histograms are and what is Image Histogram, after we demonstrated what an equalized or flattered histogram looks like. Later on we created our own function to compute image histogram and move on to understanding algorithm of histogram equalization which involves steps to create probability density function and cdf from image histogram. We implemented all steps from scratch and finally compared results with matlab provided histogram equalization function.
We also implemented two versions of digital image histogram equalization function, one histogram equalization takes histogram as input and returns an equalized histogram and second function takes an Image and compute its histogram with the help of imhist function and returns an Image with enhanced contrasted with the help of histogram equalization.
final code of histogram equalization can be seen here.
https://gist.github.com/abdul-rehman-2050/a61adb930da7984b6888deb78737fa92