Coding of spectrally homogeneous regions in multispectral image compression

In this paper we present a new approach in the compression of multispectral images. It is based on the merging of two main tendencies such as the use of KLT as a spectral decorrelator and object based image coding schemes. The use of the principal component in multispectral imagery is described and used to perform a multispectral segmenta-tion. This segmentation is taken as the basis for a speciic spectral decorrelation for each segmented class. The resulting eigen images present lower variance than classical KLT approaches. Each of the eigen regions is coded spatially using a shape adaptive DCT algorithm. The method outperforms non-region multispectral KLT+DCT schemes as well as JPEG, while adding the region based functiona-lities.