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Multispectral Image Compression Using Classified Interband Bidirectional Prediction and Extended SPHT  

Kim, Seung-Jin (School of Electrical Engineering and Computer Science, Kyungpook National University)
Ban, Seong-Won (School of Electrical Engineering and Computer Science, Kyungpook National University)
Kim, Byung-Ju (School of Electrical Engineering and Computer Science, Kyungpook National University)
Park, Kyung-Nam (School of Electrical Engineering and Computer Science, Kyungpook National University)
Kim, Young-Choon (The Faculty of Information and Electronic Engineering, Youngdong University)
Lee, Kuhn-Il (School of Electrical Engineering and Computer Science, Kyungpook National University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.39, no.5, 2002 , pp. 486-493 More about this Journal
Abstract
In this paper, we proposed the effective multispectral image compression method using CIBP(classified interband bidrectional prediction) and extended SPIHT(set partition in hierarchical trees) in wavelet domain. We determine separately feature bands that have the highest correlation with other bands in the visible range and in the infrared range of wavelengths. Feature bands are coded to remove the spatial redundancy with SPIHT in the wavelet domain. Prediction bands that have high correlation with feature bands are wavelet transformed and they are classified into one of three classes considering reflection characteristics of the baseband. For Prediction bands, CIBP is performed to reduce the spectral redundancy. for the difference bands between prediction bands and the predicted bands, They are ordered to upgrade the compression efficiency of extended SPIHT with the largest error magnitude. The arranged bands are coded to compensate the prediction error with extended SPIHT. Experiments are carried out on the multispectral images. The results show that the proposed method reconstructs higher quality images than images reconstructed by the conventional methods at the same bit rate.
Keywords
multispectral image; SPIHT; classification; bidirectional prediction;
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