Lossless Compression of Volumetric Medical Data

  • Samy Ait-Aoudia
  • Fatma-Zohra Benhamida
  • Mohamed-Azzeddine Yousfi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4263)


Medical imaging applications produce large sets of similar images. Thus a compression technique is useful to reduce space storage. Lossless compression methods are necessary in such critical applications. Volumetric medical data presents strong similarity between successive frames. In this paper we investigate predictive techniques for lossless compression of video sequences applied to volumetric data. We also make a comparative study with other existing compression techniques dedicated to volumetric data.


Volumetric Data Successive Frame Lossless Compression Arithmetic Code Residual Image 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Bekkouche, H., Barret, M.: Adaptive multiresolution decomposition: application to lossless image compression. In: ICASSP 2002, May 2002, Orlando, Florida, USA (2002)Google Scholar
  2. 2.
    Bilgin, A., Zweig, G., Marcellin, M.W.: Three-Dimensional Image Compression with Integer Wavelet Applied Optics 39(11), 1799–1814 (2000)Google Scholar
  3. 3.
    Celik, M.U., Sharma, G., Tekalp, A.M.: Gray-level embedded lossless image compression. In: ICASSP 2003, Honk-Kong, April 6-10, 2003, pp. III_245–248 (2003)Google Scholar
  4. 4.
    Chang, C.C., Chen, G.I.: Enhancement algorithm for nonlinear context-based predictors. IEE Proc.–Vis Image Signal Processing 150(1) (February 2003)Google Scholar
  5. 5.
    Cho, S., Kim, D., Pearlman, W.A.: Lossless Compression of Volumetric Medical Images with Improved Three-Dimensional SPIHT Algorithm. Journal of Digital Imaging 17(1), 57–63 (2004)CrossRefGoogle Scholar
  6. 6.
    Clunie, D.: Lossless compression of grayscale medical images and Effectiveness of traditional and state of the art approaches. In: Proc. SPIE-Medical Imaging, vol. 3980 (2000)Google Scholar
  7. 7.
    Falkowski, B.J.: Compact representations of logic functions forlossless compression of grey-scale images. IEE Proc.-Comput. Digit. Tech. 151(3), 221–230 (2004)CrossRefGoogle Scholar
  8. 8.
    Jiang, J., Guo, B., Yang, S.Y.: Revisiting the JPEG-LS prediction scheme. IEE Proc.–Vis Image Signal Processing 147(6) (December 2000)Google Scholar
  9. 9.
    Memon, N.D., Sayood, K.: Lossless Compression of Video Sequences. IEEE trans. On Communications 44(10), 1340–1345 (1996)CrossRefGoogle Scholar
  10. 10.
    Memon, N.D., Wu, X.: Recent Developments in Context-Based Predictive Techniques for Lossless Image Compression. The Computer Journal 40(2/3), 127–136 (1997)CrossRefGoogle Scholar
  11. 11.
    Neter, J., Wasserman, W., Kutner, M.H.: Applied Linear Regression Models, IRWIN Burr Rigde, IL (1989)Google Scholar
  12. 12.
    Shkarin, D.: Improving the efficiency of PPM algorithm. Problems of Information Transmission 37(3), 226–235 (2001)MATHCrossRefMathSciNetGoogle Scholar
  13. 13.
    Weinberger, M.J., Seroussi, G., Sapiro, G.: The LOCO-I Lossless Image Compression Algorithm: Principles and Standardization into JPEG-LS. IEEE Transactions on Image Processing 9(8), 1309–1324 (2000)CrossRefGoogle Scholar
  14. 14.
    Wu, X., Memon, N.: Context-based, adaptive, lossless image codec. IEEE Trans. Commun. 45(4), 437–444 (1997)CrossRefGoogle Scholar
  15. 15.
    Xiong, Z., Wu, X., Cheng, S., Hua, J.: Lossy to Lossless Compression of Medical Volumetric Data Using Three-Dimensional Integer Wavelet Transforms. IEEE trans. On Medical Imaging 22(3), 459–470 (2003)CrossRefGoogle Scholar
  16. 16.
    Yea, S., Cho, S., Pearlman, W.A.: Integrated Lossy, Near-lossless, and Lossless Compression of Medical Volumetric Data. In: Image and Video Communications and Processing 2005, IS&T/SPIE Symposium on Electronic Imaging, 2005, Proc. SPIE 5685, January 2005, vol. 2, pp. 151–159 (2005)Google Scholar
  17. 17.
    Ziv, J., Lempel, A.: A universal algorithm for sequential data compression. IEEE Trans. Inf. Theory IT-23(3), 337–343 (1977)CrossRefMathSciNetGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Samy Ait-Aoudia
    • 1
  • Fatma-Zohra Benhamida
    • 1
  • Mohamed-Azzeddine Yousfi
    • 1
  1. 1.INI – Institut National d’InformatiqueOued-Smar, AlgiersAlgeria

Personalised recommendations