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• W2146870294 abstract "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." @default.
• W2146870294 created "2016-06-24" @default.
• W2146870294 creator A5010311406 @default.
• W2146870294 date "2011-05-01" @default.
• W2146870294 modified "2023-10-16" @default.
• W2146870294 title "A Linear Programming Approach for Optimal Contrast-Tone Mapping" @default.
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• W2146870294 doi "https://doi.org/10.1109/tip.2010.2092438" @default.
• W2146870294 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/21078574" @default.
• W2146870294 hasPublicationYear "2011" @default.
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