{"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/optimized-imaging-using-non-rigid","title":"Optimized imaging using non-rigid registration","arxiv_id":"1403.6774","date":"2014-03-26","proceeding":null,"authors":["Benjamin Berkels","Peter Binev","Douglas A. Blom","Wolfgang Dahmen","Robert C. Sharpley","Thomas Vogt"],"abstract":"The extraordinary improvements of modern imaging devices offer access to data\nwith unprecedented information content. However, widely used image processing\nmethodologies fall far short of exploiting the full breadth of information\noffered by numerous types of scanning probe, optical, and electron\nmicroscopies. In many applications, it is necessary to keep measurement\nintensities below a desired threshold. We propose a methodology for extracting\nan increased level of information by processing a series of data sets\nsuffering, in particular, from high degree of spatial uncertainty caused by\ncomplex multiscale motion during the acquisition process. An important role is\nplayed by a nonrigid pixel-wise registration method that can cope with low\nsignal-to-noise ratios. This is accompanied by formulating objective quality\nmeasures which replace human intervention and visual inspection in the\nprocessing chain. Scanning transmission electron microscopy of siliceous\nzeolite material exhibits the above-mentioned obstructions and therefore serves\nas orientation and a test of our procedures.","url_abs":"http://arxiv.org/abs/1403.6774v1","url_pdf":"http://arxiv.org/pdf/1403.6774v1.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":"optimized-imaging-using-non-rigid","repo_url":"https://github.com/berkels/match-series","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}