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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Vydáno v:IEEE transactions on image processing Ročník 20; číslo 5; s. 1262 - 1272
Hlavní autor: Wu, Xiaolin
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States IEEE 01.05.2011
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
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
ISSN:1057-7149, 1941-0042, 1941-0042
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Shrnutí: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