Hyperspectral image data compression based on DSP

Jiming Fan; Jiankang Zhou; Xinhua Chen; Weimin Shen

doi:10.1117/12.870307

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9 November 2010 Hyperspectral image data compression based on DSP

Jiming Fan, Jiankang Zhou, Xinhua Chen, Weimin Shen

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Proceedings Volume 7850, Optoelectronic Imaging and Multimedia Technology; 78500H (2010) https://doi.org/10.1117/12.870307
Event: Photonics Asia 2010, 2010, Beijing, China

Abstract

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, and 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

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