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Proceedings Paper

Optimized linear-phase filter banks for wavelet image coding
Author(s): Xuguang Yang; Kannan Ramchandran
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Paper Abstract

In this paper, we address the issue of designing a two- channel linear phase biorthogonal filter bank that maximizes the two most desired properties for the wavelet transform in image coding applications, namely, orthogonality and energy compaction. Proper cost functions are formulated for these two criteria and an efficient signal-adaptive optimization algorithm is proposed. Our algorithm is motivated by a number of interesting properties of the correlation matrix of typical image signals, and uses lifting operations to efficiently represent the degrees of freedom subject to perfect reconstruction conditions. In addition, it offers a successive tradeoff between our two optimization goals. Experimental results on the popular Daubechies 9-7 and 10-18 filter banks reveal that considerable improvements in terms of both orthogonality and energy compaction can be achieved through the proposed optimization technique.

Paper Details

Date Published: 9 January 1998
PDF: 10 pages
Proc. SPIE 3309, Visual Communications and Image Processing '98, (9 January 1998); doi: 10.1117/12.298409
Show Author Affiliations
Xuguang Yang, Univ. of Illinois/Urbana-Champaign (United States)
Kannan Ramchandran, Univ. of Illinois/Urbana-Champaign (United States)

Published in SPIE Proceedings Vol. 3309:
Visual Communications and Image Processing '98
Sarah A. Rajala; Majid Rabbani, Editor(s)

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