A contrast enhancement method for compressed images

SUMMARYVarious contrast enhancement methods such as histogram equalization (HE) and local contrast enhancement (LCE) have been developed to increase the visibility and details of a degraded image. We propose an image contrast enhancement method based on the global and local adjustment of gray levels by combining HE with LCE methods. For the optimal combination of both, we introduce a discrete entropy. Evaluation of our experimental results shows that the proposed method outperforms both the HE and LCE methods.

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Entropy and AMBE-based Threshold Selection

Kwon¹

2011

Journal of Korean Institute of Intelligent Systems

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Entropy used for measuring the richness in details of the image and absolute mean brightness error(AMBE) providing a change in the image global appearance are two quantitative measures generally used for measuring quality of images. In this paper, we propose an entropy and AMBE-based thresholding method to binalize a given image. The effectiveness of the proposed method is demonstrated by thresholding experiments on nine test images and comparison with other conventional thresholding methods, that is, Otsu method and entropy-based method.Key Words : Gray images, Entropy, AMBE, Thresholding.

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A contrast enhancement method for compressed images

Cited by 3 publications

References 6 publications

Fuzzy intensification operator based contrast enhancement in the compressed domain

Fuzzy intensification operator based contrast enhancement in the compressed domain

Image Contrast Enhancement by Global and Local Adjustment of Gray Levels

Entropy and AMBE-based Threshold Selection

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