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

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 impu...

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Veröffentlicht in:	IEEE transactions on image processing 2004-07, Vol.13 (7), p.993-1007
Hauptverfasser:	Averbuch, A.Z., Zheludev, V.A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Applied sciences Artificial Intelligence Biomedical signal processing Computer Graphics Data Compression - methods Detection, estimation, filtering, equalization, prediction Discrete transforms Discrete wavelet transforms Exact sciences and technology Hoisting IIR filters Image coding Image compression Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Image processing Impulse response Infinite impulse response filters Information, signal and communications theory Mathematical analysis Numerical Analysis, Computer-Assisted Pattern Recognition, Automated - methods Polynomials Reproducibility of Results Sensitivity and Specificity Signal and communications theory Signal processing Signal Processing, Computer-Assisted Signal, noise Spline Splines Subtraction Technique Telecommunications and information theory Transforms Wavelet analysis Wavelet transforms
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Beschreibung
Zusammenfassung:	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.
ISSN:	1057-7149 1941-0042
DOI:	10.1109/TIP.2004.827229