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.