Avoiding the Deconvolution: Framework Oriented Color Transfer for Enhancing Low-Light Images

In this paper we introduce a novel color transfer method to address the underexposed image amplification problem. Targeted scenario implies a dual acquisition, containing a normally exposed, possibly blurred, image and an underexposed/low-light but sharp one. The problem of enhancing the low-light image is addressed as a color transfer problem. To properly solve the color transfer, the scene is split into perceptual frameworks and we propose a novel piece-wise approximation. The proposed method is shown to lead to robust results from both an objective and a subjective point of view.

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