Minimally non-linear integer wavelets for image coding

Authors:
M. Grangetto;E. Magli;G. Olmo
Affiliations:
Dipt. di Elettronica, Politecnico di Torino, Italy;-;-
Venue:
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 04
Year:
2000

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Wavelet kernels on a DSP: a comparison between lifting and filter banks for image coding

EURASIP Journal on Applied Signal Processing

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Abstract

In this paper we deal with the problem of finding high performance factorizations of wavelet filters to be employed within the lifting scheme framework to yield the integer wavelet transform (IWT). A method is proposed, based on the search for the factorization yielding the minimally non-linear iterated graphic function. Results are reported, referring to a set of popular wavelet filters, which show that the obtained implementations lead to IWTs achieving very satisfactory results for both lossy and lossless image compression.