Video reconstruction via online compressed sensing

Feng Yan; Dong-Fang Chen

doi:10.1117/12.2030731

19 July 2013 Video reconstruction via online compressed sensing

Feng Yan, Dong-Fang Chen

Proceedings Volume 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013); 88780J (2013) https://doi.org/10.1117/12.2030731
Event: Fifth International Conference on Digital Image Processing, 2013, Beijing, China

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.

Citation Download Citation

Feng Yan and Dong-Fang Chen "Video reconstruction via online compressed sensing", Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 88780J (19 July 2013); https://doi.org/10.1117/12.2030731

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