An improvement image vector quantization based on affine transformation
| Autor: | Ying-Lin Yu, Lai-Man Po, Ying Zhang |
|---|---|
| Rok vydání: | 2002 |
| Předmět: |
Linde–Buzo–Gray algorithm
business.industry Quantization (signal processing) Fractal transform ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Codebook Vector quantization Fractal Computer vision Artificial intelligence Affine transformation business Algorithm Coding (social sciences) Mathematics |
| Zdroj: | 1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation. |
| DOI: | 10.1109/icsmc.1997.638095 |
| Popis: | In this paper, the commonly used affine transformation (AT) in fractal coding technique is incorporated into image vector quantizer (VQ). Two new improved VQ coding schemes based on AT are investigated in detail without modifying the existing codebook. Experimental results show that the proposed method can obtain a better reproduced image as compared with the conventional VQ in terms of PSNR and visual quality even with a small size codebook. In addition, it does not need to generate an enlarged or specific codebook and has the advantage of low memory requirement. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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