19 July 2013 Video reconstruction via online compressed sensing
Author Affiliations +
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
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.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Feng Yan, Feng Yan, Dong-Fang Chen, 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); doi: 10.1117/12.2030731; https://doi.org/10.1117/12.2030731


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