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Automatic Exact Histogram Specification for Contrast Enhancement and Visual System Based Quantitative Evaluation
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Abstract
Histogram equalization, which aims at information
maximization, is widely used in different ways to perform contrast
enhancement in images. In this paper, an automatic exact
histogram specification technique is proposed and used for global
and local contrast enhancement of images. The desired histogram
is obtained by first subjecting the image histogram to a modification
process and then by maximizing a measure that represents increase
in information and decrease in ambiguity. A new method of
measuring image contrast based upon local band-limited approach
and center-surround retinal receptive field model is also devised in
this paper. This method works at multiple scales (frequency bands)
and combines the contrast measures obtained at different scales
using