Approximation Studies on Image Enhancement Using Fuzzy Technique

Abstract

An image can be considered as a fuzzy subset of plane. Fuzzy entropy measuring the blur in an image is a functional which increases when the sharpness of its argument image decreases. In this paper we consider three parameters such as the intensification parameter t, the fuzzifier h f and crossover point c  .The partially ordered set and lattice theory defined in section 2 strengthens the selection of any value in the interval [0, 1] such that the image can be enhanced. Here we verify the approximate value of c  and visual observation image enhancement in different figures. By entropy minimization technique we construct an approximation of the ideal image and for that we apply the enhancement operation to the low contrast image. This can be done by an optimization process that minimizes a criterion function.