A Linear Programming Approach for Optimal Contrast-Tone Mapping

This paper proposes a novel algorithmic approach of image enhancement via optimal contrast-tone mapping. In a fundamental departure from the current practice of histogram equalization for contrast enhancement, the proposed approach maximizes expected contrast gain subject to an upper limit on tone d...

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Bibliographic Details
Published inIEEE transactions on image processing Vol. 20; no. 5; pp. 1262 - 1272
Main Author Wu, Xiaolin
Format Journal Article
LanguageEnglish
Published United States IEEE 01.05.2011
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Algorithms
Contrast enhancement
Distortion
Dynamic range
Equalization
Gain
histogram equalization
Histograms
Image enhancement
Image Enhancement - methods
Image Processing, Computer-Assisted - methods
Linear programming
Mapping
Optimization
Pixel
Programming, Linear
tone reproduction
Transfer functions
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Summary:This paper proposes a novel algorithmic approach of image enhancement via optimal contrast-tone mapping. In a fundamental departure from the current practice of histogram equalization for contrast enhancement, the proposed approach maximizes expected contrast gain subject to an upper limit on tone distortion and optionally to other constraints that suppress artifacts. The underlying contrast-tone optimization problem can be solved efficiently by linear programming. This new constrained optimization approach for image enhancement is general, and the user can add and fine tune the constraints to achieve desired visual effects. Experimental results demonstrate clearly superior performance of the new approach over histogram equalization and its variants.
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ISSN:1057-7149
1941-0042
1941-0042
DOI:10.1109/TIP.2010.2092438