Unleashing the Power of Self-Supervised Image Denoising: A Comprehensive Review

arXiv:2308.00247v4 Announce Type: replace-cross
Abstract: The advent of deep learning has brought a revolutionary transformation to image denoising techniques. However, the persistent challenge of acquiring noise-clean pairs for supervised methods in real-world scenarios remains formidable, necessitating the exploration of more practical self-supervised image denoising. This paper focuses on self-supervised image denoising methods that offer effective solutions to address this challenge. Our comprehensive review thoroughly analyzes the latest advancements in self-supervised image denoising approaches, categorizing them into three distinct classes: General …

abstract arxiv challenge cs.cv deep learning denoising eess.iv exploration however image noise paper power practical review transformation type world