Advanced Search
Volume 27 Issue 8
Aug.  2005
Turn off MathJax
Article Contents
Wu Jia-ji, Wu Cheng-ke. Compression of Multispectral Image Using Three-Dimensional Embedded Block Coding Algorithm Based on Karhunen-Loeve and Wavelet Transforms[J]. Journal of Electronics & Information Technology, 2005, 27(8): 1244-1248.
Citation: Wu Jia-ji, Wu Cheng-ke. Compression of Multispectral Image Using Three-Dimensional Embedded Block Coding Algorithm Based on Karhunen-Loeve and Wavelet Transforms[J]. Journal of Electronics & Information Technology, 2005, 27(8): 1244-1248.

Compression of Multispectral Image Using Three-Dimensional Embedded Block Coding Algorithm Based on Karhunen-Loeve and Wavelet Transforms

  • Received Date: 2004-03-15
  • Rev Recd Date: 2004-12-08
  • Publish Date: 2005-08-19
  • Multispectral imaging has been widely used in the field of remote sensing. The storage and transmission of large volumes of multispectral data have become significant concerns. Therefore efficient compression is required for storage and transmission. This paper proposes a new multispectral image data compression algorithm (KLT/WT3DSPECK). First, a 2D wavelet transform is applied to reduce the spatial redundancies. Next a Karhunen-Loeve Transform (KLT) is used to remove the correlation between adjacent spectral bands. Finally a modified 3DSPECK method is proposed and is used to code the transformed coefficients. According to the distribution of energy of the transformed coefficients, a novel 3D octave partitioning scheme and an improved set partitioning zeroblock method are presented. To accelerate the speed and optimize the rate-distortion performance of the embedded bit stream, a fast algorithm of the optimal zeroblock sorting is given. Numerical experiments on two sample multispectral images show that the proposed KLT/WT-3DSPECK algorithm outperforms either the KLT/WT-3DSPIHT algorithm or the 3DWT-based AT-3DSPIHT and 3DSPECK algorithms. Besides having high performance, the KLT/WT-3DSPECK algorithm support progressive transmission.
  • loading
  • Gupta S, Gersho A. Feature predictive vector quantization of multispectral images[J].IEEE Trans. on Geoscience and Remote Sensing.1992, 30(3):491-[2]Rao A K, Bhargava S. Multispectral data compression using bidirectional interband prediction[J].IEEE Trans. on Geoscience and Remote Sensing.1996, 34(2):385-[3]Saghri J A, Tescher A G, Reagan J T. Practical transform coding of multispectral imagery[J].IEEE Signal Processing Mag.1995, 12(1):32-[4]Gelli G, Poggi G. Compression of multispectral images by spectral classification and transform coding[J].IEEE Trans. on Image Processing.1999, 8(4):476-[5]Vaisey J, Barlaud M, Antonini M. Multispectral image coding using lattice VQ and the wavelet transform. IEEE International Conference on Image Processing 1998, Chicago, 1998: 307-311.[6]Saghri J A, Tescher A G, Reagan J T. Terrain-adaptive transform coding of multispectral data. Geoscience and Remote Sensing Symposium, 1994. IGARSS94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation,International. 1994:313 - 316.[7]Tang X, Cho S, Pearlman W A. 3d set partitioning coding methods in hyperspectral image compression 2003. Proceedings 2003International Conference on Image Processing, Barcelona, Spain,2003:239 - 242.[8]Tang X, Pearlman W A, Modestino J W. Hyperspectral image compression using three-dimensional wavelet coding[J].SPIE/IST Electronic Imaging 2003, Santa Clara.2003, (5022):1037-[9]Lee Jungwoo. Optimized quadtree for Karhunen-Loeve transform in multispectral image coding[J].IEEE Trans. on Image Processing.1999, 8(4):453-[10]Kim B-J.[J].Pearlman W A. An embedded wavelet video coder using three-dimensional set partitioning in hierarchical trees (SPIHT).IEEE Data Compression Conf. (DCC97), Snowbird.1997,:-[11]Tae-Su Kim, Seung-Jin Kim, Byung-Ju Kim, Jong-Won Lee,Seong-Geun Kwon, Kuhn-Il Lee. Multispectral image data compression using classified prediction and KLT in wavelet transform domain. Proc. of ITC-CSCC2002, Phuket, Thailand,2002:204 - 207.[12]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-[13]Said A and Pearlman W A. A new, fast and efficient image codec based on set partitioning in hierarchical trees[J].IEEE Trans. on Circuits and Syst. for Video Technol.1996, 6(3):243-250[14]Islam A, Pearlman W A. An embedded and efficient lowcomplexity hierarchical image coder, in Proc. .[J].of SPIE Vol.3653,Visual Communications and Image Processing 99:-[15]He C, Dong J, Zhang Y F. Optimal 3-D coefficient tree structure for 3-d wavelet video coding[J].IEEE Trans. on Circuits and Syst.for Video Technol.2003, 13(10):961-[16]Hsiang S-T, Woods J W. Embedded image coding using zeroblock of subband/wavelet coefficients and context modeling. IEEE Int.Conf. on Circuits and Systems (ISCAS2000), Geneva,Switzerland, 2000:662 - 665.[17]Chrysafis C, Said A, Drukarev A, Islam A, Pearlman W A. SBHP- A low complexity wavelet coder[J].2000. ICASSP00.Proceedings. 2000 IEEE International Conference on. Acoustics,Speech, and Signal Processing, Istanbul, Turkey.2000, 4(6):2035-[18]Taubman D. EBCOT (Embedded Block Coding with Optimized Truncation): A complete reference. ISO/IEC JTC1/SC29/WG1N988, Sept. 1998.[19]Antonini M, Barlaud M, Mathieu P, Daubechies I. Image coding using wavelet transform[J].IEEE Trans. on Image Processing.1992,1(2):205-
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (2515) PDF downloads(908) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return