{"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/real-world-noisy-image-denoising-a-new","title":"Real-world Noisy Image Denoising: A New Benchmark","arxiv_id":"1804.02603","date":"2018-04-07","proceeding":null,"authors":["Jun Xu","Hui Li","Zhetong Liang","David Zhang","Lei Zhang"],"abstract":"Most of previous image denoising methods focus on additive white Gaussian\nnoise (AWGN). However,the real-world noisy image denoising problem with the\nadvancing of the computer vision techiniques. In order to promote the study on\nthis problem while implementing the concurrent real-world image denoising\ndatasets, we construct a new benchmark dataset which contains comprehensive\nreal-world noisy images of different natural scenes. These images are captured\nby different cameras under different camera settings. We evaluate the different\ndenoising methods on our new dataset as well as previous datasets. Extensive\nexperimental results demonstrate that the recently proposed methods designed\nspecifically for realistic noise removal based on sparse or low rank theories\nachieve better denoising performance and are more robust than other competing\nmethods, and the newly proposed dataset is more challenging. The constructed\ndataset of real photographs is publicly available at\n\\url{https://github.com/csjunxu/PolyUDataset} for researchers to investigate\nnew real-world image denoising methods. We will add more analysis on the noise\nstatistics in the real photographs of our new dataset in the next version of\nthis article.","url_abs":"http://arxiv.org/abs/1804.02603v1","url_pdf":"http://arxiv.org/pdf/1804.02603v1.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":"real-world-noisy-image-denoising-a-new","repo_url":"https://github.com/csjunxu/PolyUDataset","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"NOASSERTION"}},{"paper_slug":"real-world-noisy-image-denoising-a-new","repo_url":"https://github.com/csjunxu/PolyU-Real-World-Noisy-Images-Dataset","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"NOASSERTION"}}],"tasks":[{"task_slug":"denoising","task_name":"Denoising"},{"task_slug":"image-denoising","task_name":"Image Denoising"}],"methods":[],"datasets_introduced":[{"slug":"polyu-dataset","name":"PolyU","full_name":""}],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1804.02603","atlas_url":"https://app.syntology.ai/?focus=1804.02603","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}