Rethinking Reconstruction and Denoising in the Dark: New Perspective, General Architecture and Beyond
Tengyu Ma, Long Ma, Ziye Li, Yuetong Wang, Jinyuan Liu, Chengpei Xu, Risheng Liu
Abstract
MCR Input DNF CANS CANS++ GT (b) Visual Quality (c) Flexibility w/o CANS w/ CANS Figure 1. (a) Quantitative comparison on reconstruction and denoising tasks, highlighting the superior performance of the proposed method across various metrics. (b) Visual comparison with state-of-the-art methods, demonstrating the enhanced clarity and color fidelity of our approach. (c) Flexibility demonstration of the proposed method through seamless integration into other individual reconstruction methods.
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