• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Single Pixel Compressive Camera for Fast Video Acquisition using Spatial Cluster Regularization

Vol. 12, No.11, November 30, 2018
10.3837/tiis.2018.11.017 , Download Paper (Free):

Abstract

Single pixel imaging technology has developed for years, however the video acquisition on the single pixel camera is not a well-studied problem in computer vision. This work proposes a new scheme for single pixel camera to acquire video data and a new regularization for robust signal recovery algorithm. The method establishes a single pixel video compressive sensing scheme to reconstruct the video clips in spatial domain by recovering the difference of the consecutive frames. Different from traditional data acquisition method works in transform domain, the proposed scheme reconstructs the video frames directly in spatial domain. At the same time, a new regularization called spatial cluster is introduced to improve the performance of signal reconstruction. The regularization derives from the observation that the nonzero coefficients often tend to be clustered in the difference of the consecutive video frames. We implement an experiment platform to illustrate the effectiveness of the proposed algorithm. Numerous experiments show the well performance of video acquisition and frame reconstruction on single pixel camera.


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Cite this article

[IEEE Style]
Yang Peng, Yu Liu, Kuiyan Lu and Maojun Zhang, "Single Pixel Compressive Camera for Fast Video Acquisition using Spatial Cluster Regularization," KSII Transactions on Internet and Information Systems, vol. 12, no. 11, pp. 5481-5495, 2018. DOI: 10.3837/tiis.2018.11.017

[ACM Style]
Peng, Y., Liu, Y., Lu, K., and Zhang, M. 2018. Single Pixel Compressive Camera for Fast Video Acquisition using Spatial Cluster Regularization. KSII Transactions on Internet and Information Systems, 12, 11, (2018), 5481-5495. DOI: 10.3837/tiis.2018.11.017