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| Empirical Evaluation of Decomposition Strategy for Wavelet Video Compression
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Full
text: |
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Source |
International Journal of Image Processing (IJIP) |
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Table of Contents |
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Complete Issue PDF(3.95MB) |
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Volume: 3 Issue: 1 |
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Pages: 1-60 |
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Publication
Date: February 2009 |
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ISSN
(Online): 1985-2304 |
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Pages |
31 - 54 |
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Author(s) |
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Published
Date |
15-03-2009 |
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Publisher |
CSC
Journals, Kuala Lumpur,
Malaysia |
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ADDITIONAL
INFORMATION |
| Keywords Abstract References Cited by Related Articles Collaborative
Colleague |
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KEYWORDS: Wavelet Analysis, Decomposition Strategies, Empirical Evaluation |
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| 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.
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| Rohmad Fakeh : Colleagues
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| Abdul Azim Abd Ghani : Colleagues
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