Reversible wavelet and spectral transforms for lossless compression of color images

Author

Strobel, N. ; Mitra, S.E. ; Manjunath, B.S.

Author_Institution

Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA

fYear

1998

fDate

4-7 Oct 1998

Firstpage

896

Abstract

A new lossless image compression method for progressive-resolution transmission of color images is proposed. It is based on spatial and spectral transforms. Reversible wavelet transforms are performed across the red, green, and blue color components first. Then adaptive spectral transforms are applied to the associated color subbands. Simulation results indicate that the proposed algorithm can achieve bit rates that are about 20% lower than results obtained with comparable lossless image compression techniques supporting progressive-resolution transmission

Keywords

adaptive signal processing; data compression; decorrelation; image coding; image colour analysis; prediction theory; spectral analysis; transform coding; wavelet transforms; adaptive spectral transforms; algorithm; color components; color images; color subbands; interband prediction coefficients; interband prediction order; lossless image compression; progressive-resolution transmission; reversible wavelet; simulation results; spatial decorrelation; spatial transforms; spectral decorrelation; Color; Decorrelation; Image coding; Image processing; Image storage; Laboratories; Propagation losses; Signal processing; Signal resolution; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on

Conference_Location

Chicago, IL

Print_ISBN

0-8186-8821-1

Type

conf

DOI

10.1109/ICIP.1998.999076

Filename

999076