Proposed Design of Generalized Equalization Model for Image Enhancement Technique

Abstract

This article introduces a new adaptive local image enhancement method and a graphical user. The algorithm for image enhancement will correct contrast for some certain areas of an image which is based on edges contained in the image and some statistical properties; variance of the whole image and mean value of an image block. A contrast correction gain is chosen for each image tile based on statistical properties. The algorithm improves the visual quality of an image and also restricts noise amplification. The algorithm is tested with gray scale images and results are compared with histogram equalization and adaptive histogram equalization techniques by image quality metrics parameters.