Journal of the Korean Institute of Telematics and Electronics B (전자공학회논문지B)
- Volume 33B Issue 8
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- Pages.42-49
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- 1996
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- 1016-135X(pISSN)
Multispectral image data compression using classified vector quantization
영역분류 벡터 양자화를 이용한 다중분광 화상데이타 압축
Abstract
In this paper, we propose a satellite multispectral image data compression method using classified vector quantization. This method classifies each pixel vector considering band characteristics of multispectral images. For each class, we perform both intraband and interband vector quantization to romove spatial and spectral redundancy, respectively. And residual vector quantization for error images is performed to reduce error of interband vector quantization. Thus, this method improves compression efficiency because of removing both intraband(spatial) and interband (spectral) redundancy in multispectral images, effectively. Experiments on landsat TM multispectral image show that compression efficiency of proposed method is better than that of conventional method.
Keywords