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Journal article

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 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 …

Authors

Niu Y; Wu X; Shi G

Journal

IEEE Transactions on Image Processing, Vol. 25, No. 10, pp. 4815–4828

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

DOI

10.1109/tip.2016.2598485

ISSN

1057-7149