Bracketing Image Restoration and Enhancement with High-Low Frequency Decomposition

arXiv:2404.13537v1 Announce Type: cross
Abstract: In real-world scenarios, due to a series of image degradations, obtaining high-quality, clear content photos is challenging. While significant progress has been made in synthesizing high-quality images, previous methods for image restoration and enhancement often overlooked the characteristics of different degradations. They applied the same structure to address various types of degradation, resulting in less-than-ideal restoration outcomes. Inspired by the notion that high/low frequency information is applicable to different degradations, we introduce HLNet, a Bracketing …

abstract arxiv clear cs.cv eess.iv image image restoration images low photos progress quality restoration series type world