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Volume 28 Issue 9
Sep.  2010
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Luo Jian-shu, Zhuo Hong-yan, Sun Lei. Multispectral Image Compression Based on Classification and 3D-SPIHT Algorithm[J]. Journal of Electronics & Information Technology, 2006, 28(9): 1607-1610.
Citation: Luo Jian-shu, Zhuo Hong-yan, Sun Lei. Multispectral Image Compression Based on Classification and 3D-SPIHT Algorithm[J]. Journal of Electronics & Information Technology, 2006, 28(9): 1607-1610.

Multispectral Image Compression Based on Classification and 3D-SPIHT Algorithm

  • Received Date: 2005-01-06
  • Rev Recd Date: 2005-09-30
  • Publish Date: 2006-09-19
  • The paper presents an algorithm based on classification and 3D-SPIHT for 17 bands multispectral images compression. First, the 3D transform for the image data is used with CDF97 wavelet to move spacial correlation and classification prediction to move spectral correlation. Second, according to remain image coefficients from classification prediction, the method realizes compression coding by 3D-SPIHT and adopts Huffman coding files to do the lossless coding of codebook and index table. Meanwhile it transmits all coding files to the decoding so as to reconstruct image. The results of numerous experiments indicate the quality of reconstructive image.
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  • Dragotti P L, Poggi, G, Ragozini A R P. Compression of multispectral images by three-dimensional SPIHT algorithm[J].IEEE Trans. on Geoscience and Remote Sensing.2000, 38(1):416-428[2]Said A, Pearlman W. A. A new fast and efficient image codec based on set partitioning in hierarchical trees[J].IEEE Trans. on Circuits Syst. Video Technol.1996, 6(3):243-250[3]Shapiro J M. Embedded image coding using zerotrees of wavelet coefficients[J].IEEE Trans. on Signal Processing.1993, 41(12):3445-3462[4]张荣,俞能海等. 基于整数小波变换的多光谱图像无损压缩. 遥感学报, 2001, 5(3): 29-33.
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