Learned Nonlocal Feature Matching and Filtering for RAW Image Denoising

ArXi:2604.17453v1 Announce Type: cross Being one of the oldest and most basic problems in image processing, image denoising has seen a resurgence spurred by rapid advances in deep learning. Yet, most modern denoising architectures make limited use of the technical knowledge acquired researching the classical denoisers that came before the mainstream use of neural networks, instead relying on depth and large parameter counts.