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2290 IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 15, NO. 8, AUGUST 2006 Gray-Level Grouping (GLG): An Automatic Method
 

Summary: 2290 IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 15, NO. 8, AUGUST 2006
Gray-Level Grouping (GLG): An Automatic Method
for Optimized Image Contrast Enhancement--Part I:
The Basic Method
ZhiYu Chen, Senior Member, IEEE, Besma R. Abidi, Senior Member, IEEE, David L. Page, Member, IEEE, and
Mongi A. Abidi, Member, IEEE
Abstract--Contrast enhancement has an important role in
image processing applications. Conventional contrast enhance-
ment techniques either often 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 a 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 supe-
rior to conventional contrast enhancement techniques, but is also

  

Source: Abidi, Mongi A. - Department of Electrical and Computer Engineering, University of Tennessee

 

Collections: Computer Technologies and Information Sciences