F. Charriére, F. Montfort, E. Cuche, C. Depeursinge
{"title":"Shot noise perturbations in digital holographic microscopy phase images","authors":"F. Charriére, F. Montfort, E. Cuche, C. Depeursinge","doi":"10.1117/12.677157","DOIUrl":null,"url":null,"abstract":"In digital holographic microscopy, shot noise is an intrinsic part of the recording process with a digital camera. We present a study based on simulations describing how shot noise influences the quality of the reconstructed phase images under different beams intensities configurations. A model for image quality estimation based on the decision statistical theory proposed by Wagner and Brown (R.F. Wagner and D.G. Brown, \"Unified SNR Analysis of Medical Imaging-Systems,\" Phys. Med. Biol. 30, 489-518 (1985)) will be presented. A simulation will depict the variations of the reconstructed phase images SNR for different distributions of the total intensity between the reference and the object beam.","PeriodicalId":266048,"journal":{"name":"International Conference on Holography, Optical Recording, and Processing of Information","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2006-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Holography, Optical Recording, and Processing of Information","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.677157","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In digital holographic microscopy, shot noise is an intrinsic part of the recording process with a digital camera. We present a study based on simulations describing how shot noise influences the quality of the reconstructed phase images under different beams intensities configurations. A model for image quality estimation based on the decision statistical theory proposed by Wagner and Brown (R.F. Wagner and D.G. Brown, "Unified SNR Analysis of Medical Imaging-Systems," Phys. Med. Biol. 30, 489-518 (1985)) will be presented. A simulation will depict the variations of the reconstructed phase images SNR for different distributions of the total intensity between the reference and the object beam.
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