Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)
- 2002.07b
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- Pages.979-982
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- 2002
IMAGE COMPRESSION USING VECTOR QUANTIZATION
- Pantsaena, Nopprat (The Research Center for Communication and Information Technology(ReCCIT) Dept. of Electronics, Faculty of Engineering King Mongkut′s Institute of Technology Ladkrabang) ;
- Sangworasil, M. (The Research Center for Communication and Information Technology(ReCCIT) Dept. of Electronics, Faculty of Engineering King Mongkut′s Institute of Technology Ladkrabang) ;
- Nantajiwakornchai, C. (The Research Center for Communication and Information Technology(ReCCIT) Dept. of Electronics, Faculty of Engineering King Mongkut′s Institute of Technology Ladkrabang) ;
- Phanprasit, T. (Department of Electronics Engineering School of Engineering Bangkok University)
- Published : 2002.07.01
Abstract
Compressing image data by using Vector Quantization (VQ)［1］-［3］will compare Training Vectors with Codebook. The result is an index of position with minimum distortion. The implementing Random Codebook will reduce the image quality. This research presents the Splitting solution ［4］,［5］to implement the Codebook, which improves the image quality［6］by the average Training Vectors, then splits the average result to Codebook that has minimum distortion. The result from this presentation will give the better quality of the image than using Random Codebook.
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