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1 November 1989 Histogram Equalization Utilizing Spatial Correlation For Image Enhancement
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Proceedings Volume 1199, Visual Communications and Image Processing IV; (1989) https://doi.org/10.1117/12.970082
Event: 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, 1989, Philadelphia, PA, United States
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.
© (1989) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
M. Kamel and Lian Guan "Histogram Equalization Utilizing Spatial Correlation For Image Enhancement", Proc. SPIE 1199, Visual Communications and Image Processing IV, (1 November 1989); https://doi.org/10.1117/12.970082
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