2025
Boosting Stereo Image Noise Removal by Learning Uncertainty and Enriched Features
ICASSP 2025accepted
Stereo image denoising is crucial to improve perceptual quality and autonomous driving perception. Existing methods often fall short in accurately estimating the uncertainty inherent in noisy data, leading to suboptimal denoising outcomes. To address this, we introduce a novel framework named the Cr…