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Empirical Evaluation of Decomposition Strategy for Wavelet Video Compression
Rohmad Fakeh, Abdul Azim Abd Ghani
Pages - 31 - 54     |    Revised - 20-02-2009     |    Published - 15-03-2009
Volume - 3   Issue - 1    |    Publication Date - February 2009  Table of Contents
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KEYWORDS
Wavelet Analysis, Decomposition Strategies, Empirical Evaluation
ABSTRACT
Abstract The wavelet transform has become the most interesting new algorithm for video compression. Yet there are many parameters within a wavelet analysis and synthesis which govern the quality of a decoded video. In this paper different wavelet decomposition strategies and their implications for the decoded video are discussed. A pool of color video sequences has been wavelet-transformed at different settings of the wavelet filter bank and quantization threshold and with decomposition of dyadic and packet wavelet transformation strategies. The empirical evaluation of the decomposition strategy is based on three benchmarks: a first judgment regards the perceived quality of the decoded video. The compression rate is a second crucial factor, and finally the best parameter setting with regards to the Peak Signal to Noise Ratio (PSNR). The investigation proposes dyadic decomposition as the chosen decomposition strategy.
CITED BY (2)  
1 Lin, Y. W., Li, G. L., Chen, M. J., Yeh, C. H., & Huang, S. F. (2010). Repeat-Frame Selection Algorithm for Frame Rate Video Transcoding. International Journal of Image Processing (IJIP), 3(6), 341.
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www.Kakadusoftware.com
Mr. Rohmad Fakeh
- Malaysia
Mr. Abdul Azim Abd Ghani
- Malaysia