DENG Chenwei and ZHAO Baojun, “Real-Time Coding Scheme for High-Resolution Remote Sensing Images,” Chinese Journal of Electronics, vol. 18, no. 3, pp. 444-448, 2009,
Citation: DENG Chenwei and ZHAO Baojun, “Real-Time Coding Scheme for High-Resolution Remote Sensing Images,” Chinese Journal of Electronics, vol. 18, no. 3, pp. 444-448, 2009,

Real-Time Coding Scheme for High-Resolution Remote Sensing Images

  • Received Date: 2008-04-01
  • Rev Recd Date: 2009-03-01
  • Publish Date: 2009-08-25
  • Traditional wavelet-based bit-plane coding schemesare not suitable for hardware pipeline processing. To address thisissue, a fast hybrid coding framework is proposed based upon theproperties of high-resolution images. Wavelet coefficients arepartitioned into three types: the low-pass subband is encodedlosslessly; the first level high-pass subbands undergo run-lengthcoding on the basis of wide quantization; the other subbands areprocessed with adaptive quantization. According to the relationshipbetween input and output data ratio, quantization threshold can beadjusted dynamically, and variable compression ratio can be achieved.Experimental results show that, the proposed algorithm provides similarvisual quality and PSNR results in comparison with other typicalschemes, however, the execution time is less than one-fifth of such ones.
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      沈阳化工大学材料科学与工程学院 沈阳 110142

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