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    請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/80749

    題名: Further GPU implementation of prediction-based lower triangular transform using a zero-order entropy coder for ultraspectral sounder data compression
    作者: Wei, Shih-chieh;Huang, Bormin
    貢獻者: 淡江大學資訊管理學系
    日期: 2012-11-14
    上傳時間: 2013-03-04 14:27:26 (UTC+8)
    出版者: Bellingham, Washington: Society of Photo-Optical Instrumentation Engineers (SPIE)
    摘要: The ultraspectral sounder data consists of two dimensional pixels, each containing thousands of channels. In retrieval of geophysical parameters, the sounder data is sensitive to noises. Therefore lossless compression is highly desired for storing and transmitting the huge volume data. The prediction-based lower triangular transform (PLT) features the same de-correlation and coding gain properties as the Karhunen-Loeve transform (KLT), but with a lower design and implementational cost. In previous work, we have shown that PLT has the perfect reconstruction property which allows its direct use for lossless compression of sounder data. However PLT is time-consuming in doing compression. To speed up the PLT encoding scheme, we have recently exploited the parallel compute power of modern graphics processing unit (GPU) and implemented several important transform stages to compute the transform coefficients on GPU. In this work, we further incorporated a GPU-based zero-order entropy coder for the last stage of compression. The experimental result shows that our full implementation of the PLT encoding scheme on GPU shows a speedup of 88x compared to its original full implementation on CPU.
    關聯: Proceedings of SPIE 8539 (High-Performance Computing in Remote Sensing II), 85390G (7 pages)
    DOI: 10.1117/12.979000
    顯示於類別:[資訊管理學系暨研究所] 專書之單篇





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