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Improved Compressive Sensing of Natural Scenes Using Localized Random Sampling

Compressive sensing (CS) theory demonstrates that by using uniformly-random sampling, rather than uniformly-spaced sampling, higher quality image reconstructions are often achievable. Considering that the structure of sampling protocols has such a profound impact on the quality of image reconstructi...

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書目詳細資料
發表在:Sci Rep
Main Authors: Barranca, Victor J., Kovačič, Gregor, Zhou, Douglas, Cai, David
格式: Artigo
語言:Inglês
出版: Nature Publishing Group 2016
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在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC4995494/
https://ncbi.nlm.nih.gov/pubmed/27555464
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/srep31976
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