Title :
Lifting integer wavelets towards linearity
Author :
Grangetto, Marco ; Magli, Enrico ; Olmo, Gabriella
Author_Institution :
Dipt. di Elettronica, Politecnico di Torino, Italy
Abstract :
The integer wavelet transform (IWT) is dealt with. For for image compression performance, it is known that the IWT has a worse performance than the discrete wavelet transform (DWT). We analyse the IWT signal representation mechanism with respect to the DWT one, in order to explain this difference. Insight into this mechanism suggests a simple, computationally efficient yet very effective way to improve the IWT compression performance up to the DWT level. Simulation results are presented for both natural and synthetic images, these latter being more critical for the IWT; it is shown that the proposed method permits one to fill the gap between the IWT and the DWT performance.
Keywords :
data compression; image coding; image representation; transform coding; wavelet transforms; computationally efficient method; discrete wavelet transform; image compression performance; integer wavelet transform; natural images; signal representation; simulation results; synthetic images; Discrete wavelet transforms; Filter bank; Image coding; Linearity; PSNR; Performance loss; Signal analysis; Signal processing algorithms; Transform coding; Wavelet transforms;
Conference_Titel :
Signals, Systems, and Computers, 1999. Conference Record of the Thirty-Third Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-5700-0
DOI :
10.1109/ACSSC.1999.832027
