Title :
Minimally non-linear integer wavelets for image coding
Author :
Grangetto, Marco ; Magli, Enrico ; Olmo, Gabriella
Author_Institution :
Dipt. di Elettronica, Politecnico di Torino, Italy
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
0-7803-6293-4
DOI :
10.1109/ICASSP.2000.859234
