Frontiers of Electrical and Electronic Engineering >

2009 , Vol. 4 >Issue 1: 1 - 4

DOI: https://doi.org/10.1007/s11460-009-0014-1

RESEARCH ARTICLE

Medical image lossless compression based on combining an integer wavelet transform with DPCM

  • Lihong ZHAO ,
  • Yanan TIAN ,
  • Yonggang SHA ,
  • Jinghua LI
Expand
  • School of Information Science & Engineering, Northeastern University, Shenyang 110004, China.

Published date: 05 Mar 2009

Copyright

2014 Higher Education Press and Springer-Verlag Berlin Heidelberg
Fold

Abstract

To improve the classical lossless compression of low efficiency, a method of image lossless compression with high efficiency is presented. Its theory and the algorithm implementation are introduced. The basic approach of medical image lossless compression is then briefly described. After analyzing and implementing differential plus code modulation (DPCM) in lossless compression, a new method of combining an integer wavelet transform with DPCM to compress medical images is discussed. The analysis and simulation results show that this new method is simpler and useful. Moreover, it has high compression ratio in medical image lossless compression.

Key words： medical image; integer wavelet transform; differential plus code modulation (DPCM); lossless compression

Cite this article

Lihong ZHAO , Yanan TIAN , Yonggang SHA , Jinghua LI . Medical image lossless compression based on combining an integer wavelet transform with DPCM[J]. Frontiers of Electrical and Electronic Engineering, 2009 , 4(1) : 1 -4 . DOI: 10.1007/s11460-009-0014-1

Acknowledgements

This work was supported by the National Natural Science Foundation of China (Grant No. 60475036).

References

Publishing order | Descend order by publishing year | Descend order by cited within
1
Xiao Z M. Image Information Theory and Compression Coding Technology. Guangzhou: Sun Yat-sen University Press, 2000, 103–235 (in Chinese)

2
Ding G G, Ji W P, Guo B L. Visual C++6.0 Digital Image Coding. Beijing: China Machine Press, 2004, 10–24 (in Chinese)

3
Zhang H Y, Wang D M, Song K O, Guan B G. Image compression technology. Journal of System Simulation, 2002, 14(7): 831–835 (in Chinese)

4
Adams M D, Kossentni F. Reversible integer-to-integer wavelet transforms for image compression: performance evaluation and analysis. IEEE Transactions on Image Processing, 2000, 9(6): 1010–1024

DOI

5
Calderbank A R, Daubechies I, Sweldens W, Boon-Lock Y. Lossless image compression using integer to integer wavelet transforms. In: Proceedings of International Conference on Image Processing, Santa Barbara, CA. 1997, 1: 596–599

6
Abousleman G P, Marcellin M W, Hunt B R. Compression of hyperspectral imagery using the 3-D DCT and hybrid DPCM/DCT. IEEE Transactions on Geoscience & Remote Sensing, 1995, 33(1): 26–34

DOI

7
Mallat S G. A theory for multiresolution signal decomposition: the wavelet representation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1989, 11(7): 674–693

DOI

8
Shapiro J M. Embedded image coding using zero trees of wavelet coefficients. IEEE Transactions on Signal Processing, 1993, 41(12): 3445–3462

DOI

9
Mallat S G. Multifrequency channel decompositions of images and wavelet models. IEEE Transactions on Acoustics, Speech and Signal Processing, 1989, 37(12): 2091–2110

DOI

Options
Outlines

/

〈 〉