IEEE Trans Pattern Anal Mach Intell - Single Image Haze Removal Using Dark Channel Prior.

Tópicos

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Resumo

In this paper, we propose a simple but effective image prior - dark channel prior to remove haze from a single input image. The dark channel prior is a kind of statistics of outdoor haze-free images. It is based on a key observation - most local patches in outdoor haze-free images contain some pixels whose intensity is very low in at least one color channel. Using this prior with the haze imaging model, we can directly estimate the thickness of the haze and recover a high quality haze-free image. Results on a variety of hazy images demonstrate the power of the proposed prior. Moreover, a high quality depth map can also be obtained as a by-product of haze removal.

Resumo Limpo

paper propos simpl effect imag prior dark channel prior remov haze singl input imag dark channel prior kind statist outdoor hazefre imag base key observ local patch outdoor hazefre imag contain pixel whose intens low least one color channel use prior haze imag model can direct estim thick haze recov high qualiti hazefre imag result varieti hazi imag demonstr power propos prior moreov high qualiti depth map can also obtain byproduct haze remov

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