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Proceedings Paper

Distributed compressive sensing of light field
Author(s): Rui Lei; Wei Shen; Zhi-jiang Zhang; Ying Zhou
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Paper Abstract

The light field camera array can be regarded as distributed source. The image sequence captured by a camera array contains the inter-correlation and intra-correlation. In order to utilize the correlation, a joint sparsity model was established to combine the light field with distributed compressive sensing, and a recovery algorithm was proposed for the model -- simultaneous regularized orthogonal matching pursuit algorithm (SROMP), which uses the correlation to reconstruct the light field image sequences. Several light field images could be approximate at once using different linear combinations of elementary signals. Experimental results show that SROMP algorithm could be used to achieve high accuracy reported in the literatures.

Paper Details

Date Published: 6 March 2015
PDF: 6 pages
Proc. SPIE 9446, Ninth International Symposium on Precision Engineering Measurement and Instrumentation, 94463E (6 March 2015); doi: 10.1117/12.2181356
Show Author Affiliations
Rui Lei, Shanghai Univ. (China)
Wei Shen, Shanghai Univ. (China)
Zhi-jiang Zhang, Shanghai Univ. (China)
Ying Zhou, Shanghai Univ. (China)


Published in SPIE Proceedings Vol. 9446:
Ninth International Symposium on Precision Engineering Measurement and Instrumentation
Junning Cui; Jiubin Tan; Xianfang Wen, Editor(s)

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