A High-Speed Closest Codeword Search Algorithm for Vector Quantization Using the Pyramid Structure of Codewords
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- SWILEM Ahmed
- Graduate School of Natural Science Technology, Kanazawa University
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- IMAMURA Kousuke
- Department of Information and Systems Engineering, Kanazawa University
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- HASHIMOTO Hideo
- Department of Information and Systems Engineering, Kanazawa University
Bibliographic Information
- Other Title
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- High Speed Closest Codeword Search Algorithm for Vector Quantization Using the Pyramid Structure of Codewords
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Abstract
Vector quantization (VQ) for image compression requires expensive time to find the closest codeword in both encoding and codebook design. In this paper, we propose a high-speed closest codeword search algorithm applicable to both encoding and codebook design for VQ including entropy-constrained vector quantization (ECVQ). By using a lighter modified distortion measure, we propose an appropriate topological structure of training vectors and codewords to eliminate unnecessary matching operations from the search procedure. This algorithm allows significant acceleration in the codebook design process. Experimental results are presented on image block data. These results confirm the effectiveness of our proposed algorithm.
Journal
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- The Journal of the Institute of Image Electronics Engineers of Japan
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The Journal of the Institute of Image Electronics Engineers of Japan 34 (5), 653-662, 2005
The Institute of Image Electronics Engineers of Japan
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Keywords
Details 詳細情報について
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- CRID
- 1390001204612057216
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- NII Article ID
- 130004870300
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- NII Book ID
- AN00041650
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- ISSN
- 13480316
- 02859831
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- NDL BIB ID
- 7691474
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- Text Lang
- en
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- Data Source
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- JaLC
- NDL
- CiNii Articles
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- Abstract License Flag
- Disallowed