Recover image details from LDR photographs

In this paper, a novel self-adaptive curve, based on human visual model (HVM), is proposed for recovering details from low dynamic range (LDR) digital photographs, which are under-exposed or over-exposed or both. In order to improve the perceptual visibility, we utilize HVM to construct our method, which is able to take advantage of entire dynamic range to enhance the contrast of images. Extensive experiments demonstrate that our method consistently achieves satisfying results for unwell-exposed LDR photographs.

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