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

doi:10.1007/s11460-009-0014-1

Front Elect Electr Eng Chin

2009, Vol. 4

Issue (1) : 1-4 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

School of Information Science & Engineering, Northeastern University, Shenyang 110004, China.

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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.

Keywords medical image integer wavelet transform differential plus code modulation (DPCM) lossless compression

Corresponding Author(s): ZHAO Lihong,Email:zhaolihong@ise.neu.edu.cn

Issue Date: 05 March 2009

Cite this article:

Lihong ZHAO,Yanan TIAN,Yonggang SHA, et al. Medical image lossless compression based on combining an integer wavelet transform with DPCM[J]. Front Elect Electr Eng Chin, 2009, 4(1): 1-4.

URL:

https://academic.hep.com.cn/fee/EN/10.1007/s11460-009-0014-1
https://academic.hep.com.cn/fee/EN/Y2009/V4/I1/1

Fig.1 Flowchart of lossless compression of an image

Fig.2 Prediction model of DPCM system

Tab.1 Entropy and compression ratio of DPCM

Fig.3 Flowchart of encoder/decoder. (a) Encoder; (b) decoder

Fig.4 Images tested in experiments. (a) Barbara; (b) Lena; (c) brain CT; (d)chest X ray

Tab.2 Comparison of lossless compression entropy

Tab.3 Compare in lossless compression ratio

Tab.4 Compare in lossless compression time

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: 10.1109/83.846244
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: 10.1109/36.368225
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: 10.1109/34.192463
8	Shapiro J M. Embedded image coding using zero trees of wavelet coefficients. IEEE Transactions on Signal Processing , 1993, 41(12): 3445–3462 doi: 10.1109/78.258085
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: 10.1109/29.45554

[1]	MA Jing, WU Chengke, CHEN Dong, ZHOU Youxi. Embedded coding of medical images with regions of interest based on 3-D zerotree[J]. Front. Electr. Electron. Eng., 2007, 2(1): 8-12.

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