Reversible wavelet and spectral transforms for lossless compression of color images

N. Strobel, S.K. Mitra, and B. S. Manjuanth
Signal and Image Processing Laboratory
Department of Electrical and Computer Engineering
University of California, Santa Barbara, CA 93106
Email : strobel [at]


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 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.
[PDF] [BibTex]
N. Strobel, S. K. Mitra and B. S. Manjunath,
IEEE Intl. Conference on Image Processing (ICIP'98), vol. 3, pp. 896-900, Chicago, IL, Oct. 1998.
Node ID: 271 , DB ID: 67 , VRLID: 61 , Lab: VRL , Target: Proceedings