<title>Decorrelation of multispectral images for lossless compression</title>

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.