{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/nonlocality-reinforced-convolutional-neural","title":"Nonlocality-Reinforced Convolutional Neural Networks for Image Denoising","arxiv_id":"1803.02112","date":"2018-03-06","proceeding":null,"authors":["Cristóvão Cruz","Alessandro Foi","Vladimir Katkovnik","Karen Egiazarian"],"abstract":"We introduce a paradigm for nonlocal sparsity reinforced deep convolutional\nneural network denoising. It is a combination of a local multiscale denoising\nby a convolutional neural network (CNN) based denoiser and a nonlocal denoising\nbased on a nonlocal filter (NLF) exploiting the mutual similarities between\ngroups of patches. CNN models are leveraged with noise levels that\nprogressively decrease at every iteration of our framework, while their output\nis regularized by a nonlocal prior implicit within the NLF. Unlike complicated\nneural networks that embed the nonlocality prior within the layers of the\nnetwork, our framework is modular, it uses standard pre-trained CNNs together\nwith standard nonlocal filters. An instance of the proposed framework, called\nNN3D, is evaluated over large grayscale image datasets showing state-of-the-art\nperformance.","url_abs":"http://arxiv.org/abs/1803.02112v2","url_pdf":"http://arxiv.org/pdf/1803.02112v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"nonlocality-reinforced-convolutional-neural","repo_url":"https://github.com/anselmeamekoe/ImageDenoisingNN3D","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"denoising","task_name":"Denoising"},{"task_slug":"image-denoising","task_name":"Image Denoising"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}