Image Enhancement Using Fuzzy Technique: Survey and Overview

Image enhancement is a process of improving the quality of image by improving its feature. Contrast enhancement is one of the challenging and interesting area of image processing. Image enhancement plays a vital role in medical images, aerial image, microscopic images, even real life photographs, all these suffers from poor contrast and noise. Uncertainty present in the images can be handled and managed effectively by using fuzzy set theory. Different applications require different types of algorithm for enhancing the quality of an image. The performance parameters of contrast enhancement algorithm are subjective as well as objective. This paper focuses on different fuzzy image enhancement algorithm, which maps elements from image pixel plane to fuzzy plane and to transformed plane by using fuzzy technique and gives better approach for future research. But the problem of existing contrast enhancement techniques are over enhancement and under enhancement. By using nonlinear membership function of fuzzy set theory drawback of over and under enhancement of images can be rectified.