Deep learning-based blind image super-resolution with iterative kernel reconstruction and noise estimation

arXiv:2404.16564v1 Announce Type: cross
Abstract: Blind single image super-resolution (SISR) is a challenging task in image processing due to the ill-posed nature of the inverse problem. Complex degradations present in real life images make it difficult to solve this problem using na\"ive deep learning approaches, where models are often trained on synthetically generated image pairs. Most of the effort so far has been focused on solving the inverse problem under some constraints, such as for a limited space of blur …

abstract arxiv blind cs.lg deep learning eess.iv image image processing images iterative ive kernel life nature noise processing resolution solve type