標題: Adaptive predictor based on maximally flat halfband filter in lifting scheme
作者: Ho, WJ
Chang, WT
電信工程研究所
Institute of Communications Engineering
關鍵字: Bernstein polynomial;filter bank;lifting scheme;maximally flat filter
公開日期: 1-十一月-1999
摘要: For the complex short time-varying signals, a high-order predictor does not always yield good performance. For this, we investigate the use of a short-order adaptive predictor. Since the maximally flat filters are the optimal predictors for polynomial signal prediction, the adaptation is based on the combination of a set of maximally flat filters. For compression efficiency, the dynamic ranges of the weighting variables are specially considered. For this, based on the Bernstein filters, another form to represent the weighting variables is used. These two sets of weighting coefficients can be transformed into each other with a simple linear transform. Thus, the adaptation can be made in both the time domain and the frequency domain. For block-based image coding, the least square criterion is used to derive the weighting coefficients. Experimental results show that the adaptive predictor performs better than the SSP transform, the median edge detector (MED), and the gradient adjusted predictor (GAP).
URI: http://dx.doi.org/10.1109/78.796432
http://hdl.handle.net/11536/30982
ISSN: 1053-587X
DOI: 10.1109/78.796432
期刊: IEEE TRANSACTIONS ON SIGNAL PROCESSING
Volume: 47
Issue: 11
起始頁: 2965
結束頁: 2977
顯示於類別:期刊論文


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  1. 000083217500006.pdf