Wavelet-Based Topological Loss for Low-Light Image Denoising
Despite significant advances in image denoising, most algorithms rely on supervised learning, with their performance largely dependent on the quality and diversity of training data.It is widely assumed Lubes that digital image distortions are caused by spatially invariant Additive White Gaussian Noise (AWGN).However, the analysis of real-world data