A new family of spline-based biorthogonal wavelet transforms and their application to image compression

Amir Z. Averbuch; Valery A. Zheludev

doi:10.1109/TIP.2004.827229

A new family of spline-based biorthogonal wavelet transforms and their application to image compression

Amir Z. Averbuch^*
, Valery A. Zheludev

^*Corresponding author for this work

School of Computer Science and AI

Research output: Contribution to journal › Article › peer-review

29 Scopus citations

Abstract

In this paper. we design a new family of biorthogonal wavelet transforms and describe their applications to still image compression. The wavelet transforms are constructed from various types of interpolatory and quasiinterpolatory splines. The transforms use finite impulse response and infinite impulse response filters that are implemented in a fast lifting mode.

Original language	English
Pages (from-to)	993-1007
Number of pages	15
Journal	IEEE Transactions on Image Processing
Volume	13
Issue number	7
DOIs	https://doi.org/10.1109/TIP.2004.827229
State	Published - Jul 2004

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abstract = "In this paper. we design a new family of biorthogonal wavelet transforms and describe their applications to still image compression. The wavelet transforms are constructed from various types of interpolatory and quasiinterpolatory splines. The transforms use finite impulse response and infinite impulse response filters that are implemented in a fast lifting mode.",

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AB - In this paper. we design a new family of biorthogonal wavelet transforms and describe their applications to still image compression. The wavelet transforms are constructed from various types of interpolatory and quasiinterpolatory splines. The transforms use finite impulse response and infinite impulse response filters that are implemented in a fast lifting mode.

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A new family of spline-based biorthogonal wavelet transforms and their application to image compression

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