Edge Classification Based DCT Coefficients Reorganization for Wyner-Ziv Distributed Video Coding

Abstract:

Distributed video coding (DVC) is a novel video coding paradigm. One approach to DVC is Wyner-Ziv distributed video coding. Quantization step (QS) is one of the most important factors deciding encoder’s coding efficiency. In this paper, an edge classification based Discrete Cosine Transform (DCT) coefficients reorganization method was proposed. The block was first classified into horizontal-edge block, vertical-edge block and other block. Then different scanning order was applied to each class of blocks. In this way, larger coefficients might be grouped together and QS for Alternating Current (AC) coefficients might be reduced. Experimental results show that compared with DISCOVER’s method, the proposed method makes PSNR of reconstructed image increase about 0.5dB at high bit rate.

• Periodical: Applied Mechanics and Materials (Volumes 321-324)
• Pages: 1005-1010
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.321-324.1005
• Online since: June 2013
• Authors: Xiao Fei Hu, Xiu Chang Zhu
• Keywords: DCT Coefficients Reorganization, Edge Direction, Quantization Step, Transform Domain Wyner-Ziv, Video Coding Efficiency

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