{"title":"A Restoration and Extrapolation Iterative Method for Band-limited Fluorescence Microscopy Image","authors":"M. Ponti, N. Mascarenhas, C. Suazo","doi":"10.1109/SIBGRAPI.2007.25","DOIUrl":null,"url":null,"abstract":"Optical microscopic images, especially with a nonconfocal microscope, are fundamentally limited because the optical transfer function (the Fourier transform of the point-spread function) is zero over a region of the spatial-frequency domain. Iterative algorithms were developed for the restoration and extrapolation of diffraction-limited imagery. In this paper we present the effectiveness of an iterative method based on the Richardson-Lucy algorithm for image restoration and a simultaneous modified version of Gerchberg-Papoulis method to extrapolate the spectrum and control the noise amplification. Good convergence stabilization results were achieved and also good numerical results were observed.","PeriodicalId":434632,"journal":{"name":"XX Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2007)","volume":"389 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"XX Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIBGRAPI.2007.25","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Optical microscopic images, especially with a nonconfocal microscope, are fundamentally limited because the optical transfer function (the Fourier transform of the point-spread function) is zero over a region of the spatial-frequency domain. Iterative algorithms were developed for the restoration and extrapolation of diffraction-limited imagery. In this paper we present the effectiveness of an iterative method based on the Richardson-Lucy algorithm for image restoration and a simultaneous modified version of Gerchberg-Papoulis method to extrapolate the spectrum and control the noise amplification. Good convergence stabilization results were achieved and also good numerical results were observed.