RAW Denoising Research: The Color Bias Problem
CSProfKGD · x · 2026-07-16
Targeted at ICCP 2026 / PAMI Track, this work investigates RAW image denoising, focusing on two main issues:
- While low-light denoising models successfully remove noise, they frequently suffer from inaccurate colors.
- The ground truth data of the classic denoising benchmark SIDD may contain unexpected color shifts, which impacts both model training and evaluation conclusions.
While the post lacks deep methodological details, the core message is clear: the author is highlighting a long-overlooked data/evaluation issue and its impact on the credibility of low-light denoising results.
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