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Image compression has been one of the mainstream research topics in image processing. The research usually focuses on compressing images that are visible to humans. Images are usually gray-level images or RGB color images. Recent advances in technology, however, enable us to make the detailed processing of spectral color features in the images. Therefore, compression of images with many spectral color channels, called multispectral images, is required. Many methods used in traditional lossy image compression can be reused also in the compression of multispectral images. In this paper, a new combination of clustering of colors, manipulating spectral color, encoding and decoding for multispectral images is presented. The approach is based on extracting relevant color information. Furthermore, some quantitative quality measures for multispectral images are presented.

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