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Research of Distributed Video Coding Based on Compressed Sensing

Author: ZhangJiaoHui
Tutor: LiXiaoFei
School: Nanjing University of Posts and Telecommunications
Course: Signal and Information Processing
Keywords: Compressed sensing Contourlet Transform Distributed compressed sensing Distributed Video Coding Sparse filter model
CLC: TN919.81
Type: Master's thesis
Year: 2012
Downloads: 238
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Abstract


Compressed sensing (Compressed Sensing, CS) theory beyond the sampling rate below the Nyquist sampling theorem requirements on the signal samples , still from the sampling values ??to accurately restore the original signal , thereby reducing the complexity of the encoding side . In this paper, on the basis of theoretical studies on compressed sensing , the application of the theory in the distributed video coding (Distributed Video Coding, DVC) . This paper studies the theory of compressed sensing , and compared the performance of several typical reconstruction algorithm simulation . For the shortcomings of the wavelet transform in the image sparse representation Contourlet transform as the image of the sparse base and sharp frequency localized Contourlet transform (SFLCT) sparse representation of the image with respect to the advantages of wavelet transform is verified by simulation . Distributed compression perception ( Distributed Compressed Sensing , DCS) theory and its joint sparse model (Joint Sparsity Mode, JSM) analysis , simulation verify its joint reconstruction of the correlation between the use of multiple signals , using perceived fewer measured values ??than traditional compression can accurately recover the original signal . Compressed sensing can reduce the complexity of the coding side characteristics of distributed video coding is consistent , therefore , the study based on compressed sensing distributed video coding , which is distributed compressed video perception (Distributed Compressed Video Sensing, DCVS ) . In this paper, based on the the sparse filter correlation model (Sparse Filter Correlation Model, SFCM) the DCVS program based on the the DCVS program of the JSM-1 model of the existence of violent sports video signal insufficient for existing . Simulation results show that the proposed scheme of violent movement and slow movement of the video signal has a higher quality of the reconstruction . Finally, SFLCT instead of the wavelet transform as the image sparse yl used in the DCVS programs , to further improve the quality of the video reconstruction .

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Communicate > Image communication, multimedia communication > Image coding
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