Fuzzy based Image Enhancement using Attribute Preserving and Filtering Techniques

Abstract

In this paper a general framework for image improvement is proposed based on fuzzy logic with histogram modification for image improvement is bestowed. During this framework, image enhancement is posed as an improvement downside that minimizes a cost function. Histogram equalization is a good technique for image enhancement. However, a traditional histogram equalization (HE) typically leads to excessive contrast enhancement, By applying the fuzzy membership function the extent of various image attributes will be adjusted; noise lustiness, white/black stretching and mean-brightness preservation could simply be incorporated into the optimization. Conjointly a median filter of 5x5 is additionally incorporated with the fuzzy image enhancement system. The performance of the entire projected system is evaluated by applying it on different test images and therefore the results obtained are conferred. The aim of this paper is to reinforce the color images using the fuzzy filtering techniques. Image enhancement is employed to enhance the standard of a picture. The experiment is applied on varied pictures that prove that proposed image enhancement algorithms enhance poor quality pictures terribly effectively.