Lossless Compression of Hyperspectral Image for Space-Borne Application
LI Jin1,2, JIN Long-xu1, LI Guo-ning1
1. Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China 2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China
Abstract:In order to resolve the difficulty in hardware implementation, lower compression ratio and time consuming for the whole hyperspectral image lossless compression algorithm based on the prediction, transform, vector quantization and their combination, a hyperspectral image lossless compression algorithm for space-borne application was proposed in the present paper. Firstly, intra-band prediction is used only for the first image along the spectral line using a median predictor. And inter-band prediction is applied to other band images. A two-step and bidirectional prediction algorithm is proposed for the inter-band prediction. In the first step prediction, a bidirectional and second order predictor proposed is used to obtain a prediction reference value. And a improved LUT prediction algorithm proposed is used to obtain four values of LUT prediction. Then the final prediction is obtained through comparison between them and the prediction reference. Finally, the verification experiments for the compression algorithm proposed using compression system test equipment of XX-X space hyperspectral camera were carried out. The experiment results showed that compression system can be fast and stable work. The average compression ratio reached 3.05 bpp. Compared with traditional approaches, the proposed method could improve the average compression ratio by 0.14~2.94 bpp. They effectively improve the lossless compression ratio and solve the difficulty of hardware implementation of the whole wavelet-based compression scheme.
Key words:Hyper-spectral image;Lossless compression;Two-step and bi-directional prediction;Improved LUT prediction
李 进1,2,金龙旭1,李国宁1 . 适于星上应用的高光谱图像无损压缩算法[J]. 光谱学与光谱分析, 2012, 32(08): 2264-2269.
LI Jin1,2, JIN Long-xu1, LI Guo-ning1. Lossless Compression of Hyperspectral Image for Space-Borne Application. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2012, 32(08): 2264-2269.
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