Share Email Print

Proceedings Paper

Decorrelation of multispectral images for lossless compression
Author(s): Rong Zhang; Zhengkai Liu; Nenghai Yu
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Decorrelation is the most important step in lossless compression. There are spatial and spectral redundancies in multispectral images. In this paper, we proposed a new technique that integer wavelet transform is used to remove spatial redundancy and non-linear predictors are used to remove spectral redundancy. For computational reason, the number of spectral predictors is discussed. These techniques result in higher compression ratios.

Paper Details

Date Published: 26 September 2001
PDF: 5 pages
Proc. SPIE 4551, Image Compression and Encryption Technologies, (26 September 2001); doi: 10.1117/12.442914
Show Author Affiliations
Rong Zhang, Univ. of Science and Technology of China (China)
Zhengkai Liu, Univ. of Science and Technology of China (China)
Nenghai Yu, Univ. of Science and Technology of China (China)

Published in SPIE Proceedings Vol. 4551:
Image Compression and Encryption Technologies

© SPIE. Terms of Use
Back to Top