Distributed compressed video sensing of multi-view images using ADMM
Distributed compressed video sensing of multi-view images using ADMM
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DOI：
10.1109/apsipa.2016.7820808
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发表时间：
2016-05
期刊：
影响因子：
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通讯作者：
T. Sumi;Ikumi Nakamura;Y. Kuroki
中科院分区：
文献类型：
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作者：
T. Sumi;Ikumi Nakamura;Y. Kuroki
光场相机在三维空间中记录光（光场）的信息。它还可以通过处理光场来生成多视图图像。分布式压缩视频传感是一种由分布式视频编码和压缩传感组成的技术。这项研究研究了一种分布式压缩视频传感，该传感的重点是多视图图像之间的相关性，并通过AMDM（交替的Mutipliers的交替方向方法）在分布式压缩视频传感上解决了稀疏问题，这是凸优化算法之一。此外，我们设计词典以表示原始信号稀疏并确认高质量的图像重建。
A light field camera records information of light (light field) in three dimensional space. It can also generate multi-view images by processing the light field. Distributed compressed video sensing is a technique composed by a distributed video coding and a compressed sensing. This study examines a distributed compressed video sensing that focuses on correlation between the multi-view images and solves sparse problem on the distributed compressed video sensing with ADMM (Alternating Direction Method of Mutipliers) which is one of convex optimization algorithms. In addition, we design dictionaries to represent an original signal sparser and confirm high-quality image reconstruction.