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Technical Program

Paper Detail

Paper:	IMDSP-P17.9
Session:	Image Quality Assessment and Enhancement
Time:	Friday, May 19, 16:30 - 18:30
Presentation:	Poster
Topic:	Image and Multidimensional Signal Processing: Restoration and Enhancement
Title:	A Generalized and Automatic Image Contrast Enhancement Using Gray Level Grouping
Authors:	Zhiyu Chen, Besma Abidi, David Page, Mongi Abidi, University of Tennessee, United States
Abstract:	Contrast enhancement has an important role in image processing applications. Conventional contrast enhance-ment techniques either fail to produce satisfactory results for a broad variety of low-contrast images, or cannot be automatically applied to different images, because their parameters must be specified manually to produce a satisfactory result for a given image. This paper describes a new automatic method for contrast enhancement. The basic procedure is to first group the histogram components of a low-contrast image into the proper number of bins according to a selected criterion, then redistribute these bins uniformly over the grayscale, and finally ungroup the previously grouped gray-levels. Accordingly, this new technique is named Gray-Level Grouping (GLG). GLG not only produces results superior to conventional contrast enhancement techniques, but is also fully automatic in most circumstances, and is applicable to a broad variety of images.