2010 IEEE International Conference on Computational Photography (ICCP)最新文献

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Multiplexed fluorescence unmixing 多路荧光解混
2010 IEEE International Conference on Computational Photography (ICCP) Pub Date : 2010-03-29 DOI: 10.1109/ICCPHOT.2010.5585093
Marina Alterman, Y. Schechner, A. Weiss
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引用次数: 27
Computational photography and compressive holography 计算摄影和压缩全息术
2010 IEEE International Conference on Computational Photography (ICCP) Pub Date : 2010-03-29 DOI: 10.1109/ICCPHOT.2010.5585090
D. Marks, Joonku Hahn, R. Horisaki, D. Brady
{"title":"Computational photography and compressive holography","authors":"D. Marks, Joonku Hahn, R. Horisaki, D. Brady","doi":"10.1109/ICCPHOT.2010.5585090","DOIUrl":"https://doi.org/10.1109/ICCPHOT.2010.5585090","url":null,"abstract":"As lasers, photosensors, and computational imaging techniques improve, holography becomes an increasingly attractive approach for imaging applications largely reserved for photography. For the same illumination energy, we show that holography and photography have nearly identical noise performance. Because the coherent field is two dimensional outside of a source, there is ambiguity in inferring the three-dimensional structure of a source from the coherent field. Compressive holography overcomes this limitation by imposing sparsity constraints on the three-dimensional scatterer, which greatly reduces the number of possibilities allowing reliable inference of structure. We demonstrate the use of compressive holography to infer the three-dimensional structure of a scene comprising two toys.","PeriodicalId":248821,"journal":{"name":"2010 IEEE International Conference on Computational Photography (ICCP)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127823706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Recovering color from black and white photographs 从黑白照片中恢复色彩
2010 IEEE International Conference on Computational Photography (ICCP) Pub Date : 2010-03-29 DOI: 10.1109/ICCPHOT.2010.5585088
S. Olsen, Rachel Gold, A. Gooch, B. Gooch
{"title":"Recovering color from black and white photographs","authors":"S. Olsen, Rachel Gold, A. Gooch, B. Gooch","doi":"10.1109/ICCPHOT.2010.5585088","DOIUrl":"https://doi.org/10.1109/ICCPHOT.2010.5585088","url":null,"abstract":"This paper presents a mathematical framework for recovering color information from multiple photographic sources. Such sources could include either black and white negatives or photographic plates. This paper's main technical contribution is the use of Bayesian analysis to calculate the most likely color at any sample point, along with an expected error value. We explore the limits of our approach using hyperspectral datasets, and show that in some cases, it may be possible to recover the bulk of the color information in an image from as few as two black and white sources.","PeriodicalId":248821,"journal":{"name":"2010 IEEE International Conference on Computational Photography (ICCP)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129561970","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
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