An Effective Histogram Equalization method by Changing Pixel Value with the help of Cumulative frequency

摘要

Histogram equalization is a method in Image Processing. It is a contrast adjustment process using image histogram. Contrast enhancement is an important area in image processing for both human and computer vision. A lot of methods have been developed. Some well known Image Histogram methods are Adaptive Histogram Equalization method, Recursive mean square histogram equalization, and Global Histogram equalization. In this paper we take some pixel value between a range. Then calculate its cumulative frequency. After equally distribution intensity is mapped to get a new intensity value a new histogram value.