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Proceedings Paper

Video reconstruction via online compressed sensing
Author(s): Feng Yan; Dong-Fang Chen
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Paper Abstract

After analyzing the weakness of traditional video codec methods in processing real time compression of high-speed camera images. This paper designs a video codec method based on online compressed sensing (CS). The coding part uses pseudo-random down-sampling of the two-dimensional fast Fourier transform (2D FFT) to process video frames. Meanwhile, combine approximate message passing (AMP) algorithms and three-dimensional dual-tree wavelet transform (3D DTWT) for offline decoding. Experimental results show that, this method could achieve high signal to noise ratio while simplified the coding process.

Paper Details

Date Published: 19 July 2013
PDF: 4 pages
Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 88780J (19 July 2013); doi: 10.1117/12.2030731
Show Author Affiliations
Feng Yan, Wuhan Univ. of Science and Technology (China)
Dong-Fang Chen, Wuhan Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 8878:
Fifth International Conference on Digital Image Processing (ICDIP 2013)
Yulin Wang; Xie Yi, Editor(s)

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