Image Enhancement by Entropy Maximization and Quantization Resolution Upconversion | IEEE Journals & Magazine | IEEE Xplore

Image Enhancement by Entropy Maximization and Quantization Resolution Upconversion


Abstract:

This article introduces a new contrast enhancement algorithm of tone-preserving entropy maximization. Its design objective is to present the maximal amount of information...Show More

Abstract:

This article introduces a new contrast enhancement algorithm of tone-preserving entropy maximization. Its design objective is to present the maximal amount of information content in the enhanced image, or being optimal in an information theoretical sense, while preventing the loss of tone continuity. The resulting optimization problem can be graph theoretically modeled as the construction of the K-edges maximum-weight path, and it can be solved efficiently by dynamic programming. Moreover, the proposed algorithm is made more effective by being combined with a preprocess of image restoration that aims to correct quantization errors caused by the analog-to-digital conversion of image signals. Empirical evidences are provided to demonstrate the superior visual quality obtained by the new image enhancement algorithm.
Published in: IEEE Transactions on Image Processing ( Volume: 25, Issue: 10, October 2016)
Page(s): 4815 - 4828
Date of Publication: 08 August 2016

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