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DEM compression based on integer wavelet transform

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Geo-spatial Information Science

Abstract

DEM data is an important component of spatial database in GIS. The data volume is so huge that compression is necessary. Wavelet transform has many advantages and has become a trend in data compression. Considering the simplicity and high efficiency of the compression system, integer wavelet transform is applied to DEM and a simple coding algorithm with high efficiency is introduced. Experiments on a variety of DEM are carried out and some useful rules are presented at the end of this paper.

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References

  1. Kider D B, Smith D H (2003) Advance in the data compression of digital elevation models[J]. Computers and Geosciences, 29: 985–1 002

    Article  Google Scholar 

  2. Cui Baoxia, Duan Yong, Xu Xinhe (2004) Wavelet-based compression of digital elevation models[J]. Information and Control, 33(3): 337–341 (in Chinese)

    Google Scholar 

  3. Chang Zhanqiang, Wu Lixin (2004) Mountain grid DEM data compression base on wavelet transform and mixed entropy coding[J]. Geography and Geo-information Science, 20(1): 24–27 (in Chinese)

    Google Scholar 

  4. Wu Xuewen, Sun Yankui, Tang Long (2004) Lossless compression of DEM based on JPEG2000[J]. Application Research of Computers, 21(1) 240–242 (in Chinese)

    Google Scholar 

  5. Shapiro J M (1993) Embedded image coding using zero-trees of wavelet coefficients[J]. IEEE Transactions on Signal Processing, 41: 3 445–3 462

    Article  Google Scholar 

  6. Said A, Pearlman W A (1996) A new fast and efficient image codec based on set partitioning in hierarchical trees[J]. IEEE Transactions on Circuits and Systems for Video Technology, 6(3): 243–250

    Article  Google Scholar 

  7. Tian Jun, Wells R O (1998) Embedded image coding using wavelet-difference-reduction[M]//Topiwala P. Wavelet image and video compression. Norwell: Kluwer Academic Publishers

    Google Scholar 

  8. Adams M D, Kossentini F (2000) Reversible integer-to-integer wavelet transforms for image compression: performance evaluation and analysis[J]. IEEE Transaction on Image Processing, 9(6): 1 010–1 024

    Google Scholar 

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Chen, R., Li, X. DEM compression based on integer wavelet transform. Geo-spat. Inf. Sc. 10, 133–136 (2007). https://doi.org/10.1007/s11806-007-0038-8

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  • DOI: https://doi.org/10.1007/s11806-007-0038-8

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