Digital consumer electronics handbook
Digital consumer electronics handbook
Digital Image Processing
A Comparison of the Multiscale Retinex With Other Image Enhancement Techniques
A Comparison of the Multiscale Retinex With Other Image Enhancement Techniques
Histogram Equalization using Neighborhood Metrics
CRV '05 Proceedings of the 2nd Canadian conference on Computer and Robot Vision
Properties and performance of a center/surround retinex
IEEE Transactions on Image Processing
A multiscale retinex for bridging the gap between color images and the human observation of scenes
IEEE Transactions on Image Processing
Transform-based image enhancement algorithms with performance measure
IEEE Transactions on Image Processing
An advanced contrast enhancement using partially overlapped sub-block histogram equalization
IEEE Transactions on Circuits and Systems for Video Technology
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In this paper we propose a contrast enhancement technique which stretches the intensity surfaces of an image to improve the quality of a digital photo. The proposed method enhances the contrast of an image by stretching the intensity surface of the original image to the maximum range of the output image. This is done in proportion to the distances between the original intensity surface, and the upper and lower intensity surfaces respectively. The upper and lower intensity surfaces are generated adaptively from the original intensity surface by gaussian smoothing and gamma transform. In our experiments, digital color images in a variety of illumination conditions were used, and the proposed method was compared with other algorithms such as histogram stretching, histogram equalization, gamma correction, and retinex. From the results of the experiments, it was proven that the proposed algorithm further enhanced the contrast more than other methods and resulted in a more natural image without deterioration of gradation.