Linear/nonlinear adaptive polyphase subband decomposition structures for image compression
Date
1998-05
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Source Title
Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98
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Publisher
IEEE
Volume
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Pages
1345 - 1348
Language
English
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Abstract
Subband decomposition techniques have been extensively used for data coding and analysis. In most filter banks, the goal is to obtain subsampled signals corresponding to different spectral bands of the original data. However, this approach leads to various artifacts in images containing text, subtitles, or sharp edges. In this paper, adaptive filter banks with perfect reconstruction property are presented for such images. The filters of the decomposition structure vary according to the nature of the signal. This leads to higher compression ratios for images containing subtitles compared to fixed filter banks. Simulation examples are presented.
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Keywords
Adaptive filtering, Image coding, Image reconstruction, Signal processing, Electrical engineering, Adaptive filter bank structure, Adaptive polyphase subband decomposition structures, Image compression, Filter banks, Data coding, Decomposition structures, Higher compression ratios, Perfect reconstruction, Sharp edges, Simulation example, Spectral band, Subband decomposition