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Dec, 2021
基于直方图均衡化先验的无监督低光图像增强
Unsupervised Low-Light Image Enhancement via Histogram Equalization Prior
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Feng Zhang, Yuanjie Shao, Yishi Sun, Kai Zhu, Changxin Gao...
TL;DR
提出一种无监督低光图像增强方法,基于直方图均衡化先验和噪声分离模块,能够恢复更好的细节并在真实低光情景中更有效地抑制噪声,实验证明此方法可以与最先进的监督算法相媲美。
Abstract
deep learning
-based methods for
low-light image enhancement
typically require enormous paired training data, which are impractical to capture in real-world scenarios. Recently, unsupervised approaches have been e
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