{"title":"卷积稀疏模型成像中的卷积反问题","authors":"Didem Dogan, F. Oktem","doi":"10.1364/COSI.2019.JW2A.9","DOIUrl":null,"url":null,"abstract":"We develop a fast reconstruction method with convolutional sparse models for general inverse problems involving convolutions. The effectiveness of the reconstruction method is demonstrated for an inverse problem in computational spectral imaging.","PeriodicalId":123636,"journal":{"name":"Imaging and Applied Optics 2019 (COSI, IS, MATH, pcAOP)","volume":"25 7","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Convolutional Inverse Problems in Imaging with Convolutional Sparse Models\",\"authors\":\"Didem Dogan, F. Oktem\",\"doi\":\"10.1364/COSI.2019.JW2A.9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We develop a fast reconstruction method with convolutional sparse models for general inverse problems involving convolutions. The effectiveness of the reconstruction method is demonstrated for an inverse problem in computational spectral imaging.\",\"PeriodicalId\":123636,\"journal\":{\"name\":\"Imaging and Applied Optics 2019 (COSI, IS, MATH, pcAOP)\",\"volume\":\"25 7\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Imaging and Applied Optics 2019 (COSI, IS, MATH, pcAOP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1364/COSI.2019.JW2A.9\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Imaging and Applied Optics 2019 (COSI, IS, MATH, pcAOP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/COSI.2019.JW2A.9","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Convolutional Inverse Problems in Imaging with Convolutional Sparse Models
We develop a fast reconstruction method with convolutional sparse models for general inverse problems involving convolutions. The effectiveness of the reconstruction method is demonstrated for an inverse problem in computational spectral imaging.
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