{"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/the-stone-transform-multi-resolution-image","title":"The STONE Transform: Multi-Resolution Image Enhancement and Real-Time Compressive Video","arxiv_id":"1311.3405","date":"2013-11-14","proceeding":null,"authors":["Tom Goldstein","Lina Xu","Kevin F. Kelly","Richard Baraniuk"],"abstract":"Compressed sensing enables the reconstruction of high-resolution signals from\nunder-sampled data. While compressive methods simplify data acquisition, they\nrequire the solution of difficult recovery problems to make use of the\nresulting measurements. This article presents a new sensing framework that\ncombines the advantages of both conventional and compressive sensing. Using the\nproposed \\stone transform, measurements can be reconstructed instantly at\nNyquist rates at any power-of-two resolution. The same data can then be\n\"enhanced\" to higher resolutions using compressive methods that leverage\nsparsity to \"beat\" the Nyquist limit. The availability of a fast direct\nreconstruction enables compressive measurements to be processed on small\nembedded devices. We demonstrate this by constructing a real-time compressive\nvideo camera.","url_abs":"http://arxiv.org/abs/1311.3405v2","url_pdf":"http://arxiv.org/pdf/1311.3405v2.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":"the-stone-transform-multi-resolution-image","repo_url":"https://github.com/tomgoldstein/stone","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"compressive-sensing","task_name":"Compressive Sensing"},{"task_slug":"image-enhancement","task_name":"Image Enhancement"},{"task_slug":"compressed-sensing","task_name":"compressed sensing"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}