Minimally non-linear integer wavelets for image coding

Author

Grangetto, Marco ; Magli, Enrico ; Olmo, Gabriella

Author_Institution

Dipt. di Elettronica, Politecnico di Torino, Italy

Volume

6

fYear

2000

fDate

2000

Firstpage

2039

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

Keywords

data compression; image coding; transform coding; wavelet transforms; factorization; high performance factorizations; image coding; integer wavelet transform; iterated graphic function; lifting scheme framework; lossless image compression; lossy image compression; minimally nonlinear integer wavelets; wavelet filters; Availability; Discrete wavelet transforms; Electronic mail; Filters; Graphics; Image coding; PSNR; Performance loss; Wavelet packets; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on

Conference_Location

Istanbul

ISSN

1520-6149

Print_ISBN

0-7803-6293-4

Type

conf

DOI

10.1109/ICASSP.2000.859234

Filename

859234