{"title":"A Method for Image Restoration and Wavefront Sensing by Using Phase Diversity","authors":"O. Bucci, A. Capozzoli, G. D'Elia","doi":"10.1364/srs.1998.stuc.1","DOIUrl":null,"url":null,"abstract":"Cleaning the distortions of an unknown image due to an unknown\n spatially invariant point spread function (PSF) is a problem of\n particular interest for optical systems, like telescopes, wherein the\n radiation from the object passes trough a medium in turbulent motion.\n The aim of this paper is to present a stable method, based on the\n approach presented in [1] for the case of coherent radiation, which is\n able to estimate both the optical path disturbance (OPD) and the\n unknown object from noisy and incoherent multiple images, in absence\n of a reference source. The presented technique, at variance of other\n existing methods, [2-3], is able to take explicitly into account the\n measurement errors and noise without requiring any hypothesis on their\n statistical nature. The stability of the method is ensured by\n exploiting both a physical constraint on the OPD and a stabilizing\n functional.","PeriodicalId":184407,"journal":{"name":"Signal Recovery and Synthesis","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Signal Recovery and Synthesis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/srs.1998.stuc.1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Cleaning the distortions of an unknown image due to an unknown
spatially invariant point spread function (PSF) is a problem of
particular interest for optical systems, like telescopes, wherein the
radiation from the object passes trough a medium in turbulent motion.
The aim of this paper is to present a stable method, based on the
approach presented in [1] for the case of coherent radiation, which is
able to estimate both the optical path disturbance (OPD) and the
unknown object from noisy and incoherent multiple images, in absence
of a reference source. The presented technique, at variance of other
existing methods, [2-3], is able to take explicitly into account the
measurement errors and noise without requiring any hypothesis on their
statistical nature. The stability of the method is ensured by
exploiting both a physical constraint on the OPD and a stabilizing
functional.