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9 November 2010Hyperspectral image data compression based on DSP
The huge data volume of hyperspectral image challenges its transportation and store. It is necessary to find an effective
method to compress the hyperspectral image. Through analysis and comparison of current various algorithms, a mixed
compression algorithm based on prediction, integer wavelet transform and embedded zero-tree wavelet (EZW) is
proposed in this paper. We adopt a high-powered Digital Signal Processor (DSP) of TMS320DM642 to realize the
proposed algorithm. Through modifying the mixed algorithm and optimizing its algorithmic language, the processing
efficiency of the program was significantly improved, compared the non-optimized one. Our experiment show that the
mixed algorithm based on DSP runs much faster than the algorithm on personal computer. The proposed method can
achieve the nearly real-time compression with excellent image quality and compression performance.
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Jiming Fan, Jiankang Zhou, Xinhua Chen, Weimin Shen, "Hyperspectral image data compression based on DSP," Proc. SPIE 7850, Optoelectronic Imaging and Multimedia Technology, 78500H (9 November 2010); https://doi.org/10.1117/12.870307