DocumentCode
350314
Title
Evaluation of reversible integer-to-integer wavelet transforms for image compression
Author
Adams, Michael D. ; Kossentini, Faouzi
Author_Institution
Dept. of Electr. & Comput. Eng., British Columbia Univ., Vancouver, BC, Canada
Volume
3
fYear
1999
fDate
1999
Firstpage
541
Abstract
In the context of image coding, a number of reversible integer-to-integer wavelet transforms are compared on the basis of their lossy compression performance, lossless compression performance, and computational complexity. Of the transforms considered, several were found to perform particularly well, with the best choice for a given application depending on the relative importance of the preceding criteria. Reversible integer-to-integer versions of numerous transforms are also compared to their conventional counterparts for lossy compression. At low bit rates, reversible integer-to-integer and conventional versions of transforms were found to often yield reconstructed images with comparable quality, both subjectively and objectively
Keywords
computational complexity; data compression; image coding; image reconstruction; wavelet transforms; computational complexity; image coding; image compression; lossless compression performance; lossy compression performance; reconstructed images; reversible integer-to-integer transforms; reversible integer-to-integer wavelet transforms; Bit rate; Computational complexity; Degradation; Filter bank; Finite impulse response filter; IIR filters; Image coding; Nonlinear filters; Performance loss; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on
Conference_Location
Kobe
Print_ISBN
0-7803-5467-2
Type
conf
DOI
10.1109/ICIP.1999.817173
Filename
817173
Link To Document