NDLI: A comprehensive approach to image-contrast enhancement

Content Provider	IEEE Xplore Digital Library
Author	Carbonaro, A. Zingaretti, P.
Copyright Year	1999
Description	Author affiliation: Dept. of Comput. Sci., Bologna Univ., Italy (Carbonaro, A.)
Abstract	The paper describes a novel comprehensive approach to image-contrast enhancement in the spatial domain. Instead of defining another transformation function our strategy consists of adopting a general functional form, able to map different transformation functions, and in using a learning technique to select the parameter values that are optimal for the image being processed. First, local measures of spatial activity are assigned to each pixel of the image. Second, the local contrast value for each pixel is computed according to a function which is based on human visual response. Third, the parameters of a comprehensive contrast-enhancement function are selected by a genetic algorithm on the basis of the spatial activity of the image resulting from the transformation. The validity of the proposed technique is confirmed both perceptually, that is, higher fitness values correspond to the images that have been judged better by human observers, and by comparative evaluations of our algorithm with respect to classical methods.
Starting Page	241
Ending Page	246
File Size	2984976
Page Count	6
File Format	PDF
ISBN	0769500404
DOI	10.1109/ICIAP.1999.797602
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-09-27
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Pixel Histograms Humans Feature extraction Nonlinear filters Filtering Computer science Genetic algorithms Cost accounting Computer vision
Content Type	Text
Resource Type	Article

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