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Adaptive Acquisitions In Biomedical Optical Imaging Based on Single pixel Camera: Comparison With Compressive Sensing

机译：基于单像素相机的生物医学光学成像中的自适应采集：与压缩感测的比较

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International audience

机译：国际观众

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Rousset, Florian; Ducros, Nicolas; Farina, Andrea; Valentini, Gianluca; D'Andrea, Cosimo; Peyrin, Françoise;
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年度 2016
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正文语种 en
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专利

1. Adaptive compressive sensing algorithm for video acquisition using a single-pixel camera [J] . Imama Noor, Eddie L. Jacobs Journal of electronic imaging . 2013,第2期

机译：使用单像素相机进行视频采集的自适应压缩感测算法
2. Optical frequency comb profifometry with a compressive sensing-based single-pixel camera composed of digital micromirror devices and a two-frequency method for meter-order depth measurements [J] . Quang Duc Pham, Yoshio Hayasaki Journal of microanolithography, MEMS, and MOEMS . 2015,第4期

机译：光学频率梳光度法与基于压缩感测的单像素相机（由数字微镜设备组成）和用于仪表级深度测量的双频方法
3. Single-pixel imaging based on compressive sensing with spectral-domain optical mixing [J] . Zhu Zhijing, Chi Hao, Jin Tao, Optics Communications: A Journal Devoted to the Rapid Publication of Short Contributions in the Field of Optics and Interaction of Light with Matter . 2017,第期

机译：基于压缩检测的单像素成像用光谱域光学混合
4. ADAPTIVE ACQUISITIONS IN BIOMEDICAL OPTICAL IMAGING BASED ON SINGLE PIXEL CAMERA: COMPARISON WITH COMPRESSIVE SENSING [C] . Florian Rousset, Nicolas Ducros, Andrea Farina, IEEE International Symposium on Biomedical Imaging . 2016

机译：基于单像素摄像头的生物医学光学成像的自适应习题：与压缩感测的比较
5. Compressive sensing based single-pixel imaging systems [D] . Magalh?es, Filipe Tiago Alves de. 2013

机译：基于压缩感测的单像素成像系统
6. Compressive Video Recovery Using Block Match Multi-Frame Motion Estimation Based on Single Pixel Cameras [O] . Sheng Bi, Xiao Zeng, Xin Tang, 2016

机译：基于单像素摄像机的块匹配多帧运动估计压缩视频恢复
7. Adaptive acquisitions in biomedical optical imaging based on single pixel camera: Comparison with compressive sensing [O] . Rousset, Florian, Ducros, Nicolas, Farina, Andrea, 2016

机译：基于单像素相机的生物医学光学成像中的自适应采集：与压缩感测的比较

Adaptive Acquisitions In Biomedical Optical Imaging Based on Single pixel Camera: Comparison With Compressive Sensing

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