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ZHAO Rui-si, WU Shao-hua, WANG Hai-xu, ZHANG Qin-yu
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Abstract:
To improve the quality of video frame image-reconstruction in the distributed compressive video sensing(DCVS) system, the continuous real-time video transmission is used as scenarios, an decoding algorithm based on the double sparse dictionary is proposed. Side information(SI) is generated by the adjacent key-frame. Separate sub-bands with different scales of the sample images under wavelet domain, then use the K-SVD algorithm to get different redundant dictionaries with multi-scale properties. Finally, these dictionaries and gradient pursuit for sparse reconstruction(GPSR) algorithm are combined to reconstruct the non-key frames. Simulation results show that at the same compression ratio, the peak signal to noise ratio (PSNR) of the proposed method can obtain more than 0.5~1.5 dB gain than traditional methods.
ZHAO Rui-si, WU Shao-hua, WANG Hai-xu, ZHANG Qin-yu. High-performance decoding method based on double sparse dictionary in DCVS system[J]. Systems Engineering and Electronics, doi: 10.3969/j.issn.1001-506X.2015.11.32.
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URL: https://www.sys-ele.com/EN/10.3969/j.issn.1001-506X.2015.11.32
https://www.sys-ele.com/EN/Y2015/V37/I11/2634