From Fidelity to Perceptual Quality: A Semi-Supervised Approach for Low-Light Image Enhancement

Under-exposure introduces a series of visual degradation, i.e. decreased visibility, intensive noise, and biased color, etc. To address these problems, we propose a novel semi-supervised learning approach for low-light image enhancement. A deep recursive band network (DRBN) is proposed to recover a ... View More