CRNet: A Detail-Preserving Network for Unified Image Restoration and Enhancement Task

arXiv:2404.14132v1 Announce Type: new
Abstract: In real-world scenarios, images captured often suffer from blurring, noise, and other forms of image degradation, and due to sensor limitations, people usually can only obtain low dynamic range images. To achieve high-quality images, researchers have attempted various image restoration and enhancement operations on photographs, including denoising, deblurring, and high dynamic range imaging. However, merely performing a single type of image enhancement still cannot yield satisfactory images. In this paper, to deal with the challenge …

abstract arxiv cs.cv dynamic eess.iv forms image image restoration images limitations low network noise operations people quality researchers restoration sensor type world