ReF-LLE iteratively scales the Fourier amplitude (equivalently, the whole image) to match a target average brightness, and reports improved scores on low-light benchmarks.
Toward fast, flexible, and robust low-light image enhancement,
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ReF-LLE: Personalized Low-Light Enhancement via Reference-Guided Deep Reinforcement Learning
ReF-LLE iteratively scales the Fourier amplitude (equivalently, the whole image) to match a target average brightness, and reports improved scores on low-light benchmarks.