{"title":"图像配准;样本不足的情况","authors":"P. Barry, M. Klop, J. D. Hulsmann","doi":"10.1364/srs.1983.tha18","DOIUrl":null,"url":null,"abstract":"The registration of a multi-frame sequence of images has been a classic problem in image processing whose solution has found wide application in such diverse areas as astronomy, earth resource analysis, electron microscopy, computed-aided medical imaging, military surveillance and photo-reconnaissance. In the most general sense, precise image registration allows such subsequent processing as signal-to-noise improvement, pattern enhancement and characterization, and the automated detection of spatio-temporally varying patterns, to be carried out at a level that would be impossible if the image sequence were not accurately registered.","PeriodicalId":279385,"journal":{"name":"Topical Meeting on Signal Recovery and Synthesis with Incomplete Information and Partial Constraints","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Image Registration; The Undersampled Case\",\"authors\":\"P. Barry, M. Klop, J. D. Hulsmann\",\"doi\":\"10.1364/srs.1983.tha18\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The registration of a multi-frame sequence of images has been a classic problem in image processing whose solution has found wide application in such diverse areas as astronomy, earth resource analysis, electron microscopy, computed-aided medical imaging, military surveillance and photo-reconnaissance. In the most general sense, precise image registration allows such subsequent processing as signal-to-noise improvement, pattern enhancement and characterization, and the automated detection of spatio-temporally varying patterns, to be carried out at a level that would be impossible if the image sequence were not accurately registered.\",\"PeriodicalId\":279385,\"journal\":{\"name\":\"Topical Meeting on Signal Recovery and Synthesis with Incomplete Information and Partial Constraints\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Topical Meeting on Signal Recovery and Synthesis with Incomplete Information and Partial Constraints\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1364/srs.1983.tha18\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Topical Meeting on Signal Recovery and Synthesis with Incomplete Information and Partial Constraints","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/srs.1983.tha18","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The registration of a multi-frame sequence of images has been a classic problem in image processing whose solution has found wide application in such diverse areas as astronomy, earth resource analysis, electron microscopy, computed-aided medical imaging, military surveillance and photo-reconnaissance. In the most general sense, precise image registration allows such subsequent processing as signal-to-noise improvement, pattern enhancement and characterization, and the automated detection of spatio-temporally varying patterns, to be carried out at a level that would be impossible if the image sequence were not accurately registered.