{"title":"基于低分辨率图像的复值目标相位检索","authors":"J. Fienup, A. Kowalczyk","doi":"10.1364/JOSAA.7.000450","DOIUrl":null,"url":null,"abstract":"Phase retrieval from a single Fourier intensity distribution is very difficult for complex valued objects unless the object has a support that is very well known, has a special type of support, or has strong glints [1-3]. In this paper we show that even the most difficult types of complex objects can be reconstructed if one has a very low-resolution intensity image of the object to supplement the Fourier intensity data.","PeriodicalId":193110,"journal":{"name":"Signal Recovery and Synthesis III","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"99","resultStr":"{\"title\":\"Phase Retrieval for a Complex-Valued Object Using a Low-Resolution Image\",\"authors\":\"J. Fienup, A. Kowalczyk\",\"doi\":\"10.1364/JOSAA.7.000450\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Phase retrieval from a single Fourier intensity distribution is very difficult for complex valued objects unless the object has a support that is very well known, has a special type of support, or has strong glints [1-3]. In this paper we show that even the most difficult types of complex objects can be reconstructed if one has a very low-resolution intensity image of the object to supplement the Fourier intensity data.\",\"PeriodicalId\":193110,\"journal\":{\"name\":\"Signal Recovery and Synthesis III\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1990-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"99\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Signal Recovery and Synthesis III\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1364/JOSAA.7.000450\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Signal Recovery and Synthesis III","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/JOSAA.7.000450","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Phase Retrieval for a Complex-Valued Object Using a Low-Resolution Image
Phase retrieval from a single Fourier intensity distribution is very difficult for complex valued objects unless the object has a support that is very well known, has a special type of support, or has strong glints [1-3]. In this paper we show that even the most difficult types of complex objects can be reconstructed if one has a very low-resolution intensity image of the object to supplement the Fourier intensity data.