IEEE Trans Image Process - A linear programming approach for optimal contrast-tone mapping.

Tópicos

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Resumo

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.

Resumo Limpo

paper propos novel algorithm approach imag enhanc via optim contrastton map fundament departur current practic histogram equal contrast enhanc propos approach maxim expect contrast gain subject upper limit tone distort option constraint suppress artifact under contrastton optim problem can solv effici linear program new constrain optim approach imag enhanc general user can add fine tune constraint achiev desir visual effect experiment result demonstr clear superior perform new approach histogram equal variant

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