Reliability-Gated Uncertainty-Aware Objective for Image Denoising
Deep image denoisers achieve strong performance on synthetic additive white Gaussian noise (AWGN), but under heavy noise they often oversmooth edges and destabilize fine textures. Existing gradient-and frequency-based regularization can improve detail preservation, yet uniformly enforcing such constraints may over-regu...