NDLI: Smooth biorthogonal wavelets for applications in image compression

Content Provider	IEEE Xplore Digital Library
Author	Odegard, J.E. Burrus, C.S.
Copyright Year	1996
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX, USA (Odegard, J.E.)
Abstract	We introduce a new family of smooth, symmetric biorthogonal wavelet basis. The new wavelets are a generalization of the Cohen, Daubechies and Feauveau (CDF) biorthogonal wavelet systems proposed in 1992. Smoothness is controlled independently in the analysis and synthesis bank and is achieved by optimization of the discrete finite variation (DFV) measure introduced for orthogonal wavelet design. The DFV measure dispenses with a measure of differentiability (for smoothness) which requires-a large number of vanishing wavelet moments (e.g., Holder and Sobolev exponents) in favor of a smoothness measure that uses the fact that only a finite depth of the filter bank tree is involved in most practical applications. Image compression examples applying the new filters using the embedded wavelet zerotree (EZW) compression algorithm due to Shapiro (1993) shows that the new basis functions performs better when compared to the classical CDF 7/9 wavelet basis.
Starting Page	73
Ending Page	76
File Size	695049
Page Count	4
File Format	PDF
ISBN	0780336291
DOI	10.1109/DSPWS.1996.555463
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-09-01
Publisher Place	Norway
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image coding Wavelet analysis PSNR Constraint optimization Nonlinear filters Image converters Nonlinear equations Design optimization Length measurement Cost function
Content Type	Text
Resource Type	Article

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