{"title":"散斑干涉法:复光谱的一维图像零点重建","authors":"Y. Bruck, L. Sodin","doi":"10.1364/srs.1983.tha6","DOIUrl":null,"url":null,"abstract":"The method suggested by Labeyrie [1] allows reconstruction of the Fourier spectrum modulus to be performed for images scattered by a random atmosphere. Ultimately one is able to determine the autocorrelation function of the image, yet not the image itself.","PeriodicalId":279385,"journal":{"name":"Topical Meeting on Signal Recovery and Synthesis with Incomplete Information and Partial Constraints","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Speckle Interferometry: One-Dimensional Image Reconstruction from Zeros of Complex Spectrum\",\"authors\":\"Y. Bruck, L. Sodin\",\"doi\":\"10.1364/srs.1983.tha6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The method suggested by Labeyrie [1] allows reconstruction of the Fourier spectrum modulus to be performed for images scattered by a random atmosphere. Ultimately one is able to determine the autocorrelation function of the image, yet not the image itself.\",\"PeriodicalId\":279385,\"journal\":{\"name\":\"Topical Meeting on Signal Recovery and Synthesis with Incomplete Information and Partial Constraints\",\"volume\":\"5 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\":\"Topical Meeting on Signal Recovery and Synthesis with Incomplete Information and Partial Constraints\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1364/srs.1983.tha6\",\"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.tha6","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Speckle Interferometry: One-Dimensional Image Reconstruction from Zeros of Complex Spectrum
The method suggested by Labeyrie [1] allows reconstruction of the Fourier spectrum modulus to be performed for images scattered by a random atmosphere. Ultimately one is able to determine the autocorrelation function of the image, yet not the image itself.