{"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/fast-guided-filter","title":"Fast Guided Filter","arxiv_id":"1505.00996","date":"2015-05-05","proceeding":null,"authors":["Kaiming He","Jian Sun"],"abstract":"The guided filter is a technique for edge-aware image filtering. Because of\nits nice visual quality, fast speed, and ease of implementation, the guided\nfilter has witnessed various applications in real products, such as image\nediting apps in phones and stereo reconstruction, and has been included in\nofficial MATLAB and OpenCV. In this note, we remind that the guided filter can\nbe simply sped up from O(N) time to O(N/s^2) time for a subsampling ratio s. In\na variety of applications, this leads to a speedup of >10x with almost no\nvisible degradation. We hope this acceleration will improve performance of\ncurrent applications and further popularize this filter. Code is released.","url_abs":"http://arxiv.org/abs/1505.00996v1","url_pdf":"http://arxiv.org/pdf/1505.00996v1.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":"fast-guided-filter","repo_url":"https://github.com/Felix2048/FogKiller","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"fast-guided-filter","repo_url":"https://github.com/Felix2048/image_dehaze","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"fast-guided-filter","repo_url":"https://github.com/globaledgesoft/Low-Light-Image-Enhancement-Using-FastCV-on-C610","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"fast-guided-filter","repo_url":"https://github.com/gongshichina/filter","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"fast-guided-filter","repo_url":"https://github.com/muditjoshi98/Image-Dehazing-Using-Residual-Based-Deep-CNN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"fast-guided-filter","repo_url":"https://github.com/swehrwein/python-guided-filter","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[{"method_slug":"affine-coupling","method_name":"Affine Coupling"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}