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Proceedings Paper

Histogram Equalization Utilizing Spatial Correlation For Image Enhancement
Author(s): M. Kamel; Lian Guan
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Paper Abstract

Histogram equalization (HE) techniques are widely used for image enhancement due to their simplicity and effectiveness. Most of the existing HE techniques assume image pixels to be randomly distributed over the image space. In general, adjacent image pixels are highly correlated, it is more reasonable to design HE methods that utilize this correlation. In this paper, we present a method of HE that takes spatial correlation among pixels into account. The concurrence of the gray values of adjacent pixels is calculated to form conditional probabilities of each gray level with respect to other gray levels in the image. The HE is then obtained using these probabilities. We call this method Conditional Histogram Equalization (CHE). Experimental results show that the proposed method generates images that are visually more pleasant than the ones generated by conventional HE techniques. The results also show that this method avoids the problem of over stretching the contrast in images with highly peaked histograms.

Paper Details

Date Published: 1 November 1989
PDF: 12 pages
Proc. SPIE 1199, Visual Communications and Image Processing IV, (1 November 1989); doi: 10.1117/12.970082
Show Author Affiliations
M. Kamel, University of Waterloo (Canada)
Lian Guan, University of Waterloo (Canada)

Published in SPIE Proceedings Vol. 1199:
Visual Communications and Image Processing IV
William A. Pearlman, Editor(s)

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