Abstract:Since the bitrate of the whole block is determined by its maximum prediction error and much redundancy exists in the scalar coset coding based compression method for hyperspectral images,a lossless compression method based on classification and coset coding is proposed in this paper to further reduce the bitrate. The current block is classified using the corresponding prediction errors in the previous band to make the pixels with similar inter-band correlations cluster together. Then each class of pixels is then coset coded respectively. The experimental results show that the classification can reduce the bitrate efficiently. Compared to coset coding based method without classification, the lossless compression bitrate of the proposed method is reduced by about 0.4 bpp.