One approach for decorrelation of multispectral images, based on hierarchical adaptive PCA

In the paper is presented one new approach for efficient decorrelation of multispectral images, based on hierarchical adaptive Principal Component Analysis. The research is aimed at the efficient compression of multispectral images (MS), whose resolution and band number in some application areas are extremely high. Together with this, also grows up the needed volume of the corresponding image databases. Key-Words: Image processing, Image segmentation, Image contents analysis, Lossless image compression, Histogram modification, Inverse pyramid decomposition, Lossy image compression.