Low-light image enhancement - Open Access .click

IEEE Transactions on Image Processing, 2020
Low-light image enhancement is a challenging task that has attracted considerable attention. Pictures taken in low-light conditions often have bad visual quality. To address the problem, we regard the low-light enhancement as a residual learning problem that is to estimate the residual between low- and normal-light images.
Li-Wen Wang +3 more
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Polarization-Aware Low-Light Image Enhancement

Proceedings of the AAAI Conference on Artificial Intelligence, 2023
Polarization-based vision algorithms have found uses in various applications since polarization provides additional physical constraints. However, in low-light conditions, their performance would be severely degenerated since the captured polarized images could be noisy, leading to noticeable degradation in the degree of polarization (DoP) and the ...
Chu Zhou +5 more
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Benchmarking Low-Light Image Enhancement and Beyond

International Journal of Computer Vision, 2021
In this paper, we present a systematic review and evaluation of existing single-image low-light enhancement algorithms. Besides the commonly used low-level vision oriented evaluations, we additionally consider measuring machine vision performance in the low-light condition via face detection task to explore the potential of joint optimization of high ...
Jiaying Liu 0001 +4 more
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fos: computer and information sciences
computer vision and pattern recognition cs.cv
image enhancement

deep learning
image and video processing eess.iv
image processing

noise suppression
image fusion
retinex theory