Vector quantization in transformed image coding
| Autor: | C. Labit, J. Marescq |
|---|---|
| Rok vydání: | 2005 |
| Předmět: |
Linde–Buzo–Gray algorithm
business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Codebook Vector quantization Variable-length code Pattern recognition Statistical classification Artificial intelligence business Cluster analysis Transform coding Coding (social sciences) Mathematics |
| Zdroj: | ICASSP |
| DOI: | 10.1109/icassp.1986.1169097 |
| Popis: | This paper describes a new method which combines vector quantization (VQ) and orthogonal transform coding schemes. The use of these two techniques in image coding allows efficient bit-rate reduction (about 8-10) with an original-like reconstruction quality and easy introduction of visual properties both in classification procedure and codebook design. Recent work, including classification algorithm and transformed coefficients coding is presented. Then, image sequence coding using VQ is discussed and some strategies for codebook refreshment are proposed. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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