We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 November 2024
Call for Paper
December Edition
IJCA solicits high quality original research papers for the upcoming December edition of the journal. The last date of research paper submission is 20 November 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Fast Lossless Compression of Medical Images based on Polynomial

by Ghadah Al-khafaji, Loay E. George
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 70 - Number 15
Year of Publication: 2013
Authors: Ghadah Al-khafaji, Loay E. George
10.5120/12039-7999

Ghadah Al-khafaji, Loay E. George . Fast Lossless Compression of Medical Images based on Polynomial. International Journal of Computer Applications. 70, 15 ( May 2013), 28-32. DOI=10.5120/12039-7999

@article{ 10.5120/12039-7999,
author = { Ghadah Al-khafaji, Loay E. George },
title = { Fast Lossless Compression of Medical Images based on Polynomial },
journal = { International Journal of Computer Applications },
issue_date = { May 2013 },
volume = { 70 },
number = { 15 },
month = { May },
year = { 2013 },
issn = { 0975-8887 },
pages = { 28-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume70/number15/12039-7999/ },
doi = { 10.5120/12039-7999 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:32:57.022313+05:30
%A Ghadah Al-khafaji
%A Loay E. George
%T Fast Lossless Compression of Medical Images based on Polynomial
%J International Journal of Computer Applications
%@ 0975-8887
%V 70
%N 15
%P 28-32
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, a fast lossless image compression method is introduced for compressing medical images, it is based on splitting the image blocks according to its nature along with using the polynomial approximation to decompose image signal followed by applying run length coding on the residue part of the image, which represents the error caused by applying polynomial approximation. Then, Huffman coding is applied as a last stage to encode the polynomial coefficients and run length coding. The test results indicate that the suggested method can lead to promising performance.

References
  1. Bramble, J. M. , Huang, H. K. and Murphy, M. D. 1988. Image Data Compression. Radiology, 23, 707-712.
  2. Wong, S. , Zaremba, L. , Gooden D. and Huang, H. K. 1995. Radiologic Image Compression – A Review. Proceedings of the IEEE, 83(2), 194-218
  3. Roos, P. , Viergever M. A. , Duke, M. C. A. and Peters, J. H. 1988. Reversible Intraframe Compression of Medical Images. IEEE Transactions on Medical Imaging, 7(4), 328-336.
  4. Bramble, J. M. 1989. Comparison of Information Preserving and Information-Losing Data-Compression Algorithms for CT Images. Radiology, 170, 543-455.
  5. Heer, V. K. and Reinfelder, H. E. 1990. A Comparison of Reversible Methods for Data Compression. SPIE Medical Imaging, 1233, 254-365.
  6. Ramabadran, T. V. and Chen, K. 1992. The Use of Contextual Information in the Reversible Compression of Medical Images. IEEE Transactions on Medical Imaging, 11(2), 185-195.
  7. Viergever, M. A. and Roos, P. 1993. Hierarchical Interpolation. IEEE Engineering in Medicine and Biology Magazine, 12(1), 48- 55.
  8. Miaou, S-G. , Ke, F-S. and Chen, S-C. 2009. A Lossless Compression Method for Medical Image Sequences Using JPEG-LS and Interframe Coding. IEEE Transactions on Information Technology in Biomedicine, 13(5), 818-821.
  9. Das, M. , Tan, S. Y. and Loh, N. K. 1987. Adaptive Predictive Coding of Images Based upon Multiplicative Time Series Modeling, Proceeding of the IEEE International Conference on Acoustic, Speech and Signal Processing, 1386-1389.
  10. Salo, J. and Neuvo, Y. 1988. A New Two Dimensional Predictor Design for DPCM Coding of Video Signals. Signal Processing of HDTV, 207-211.
  11. Das, M. and Loh, N. K. 1990. New Studies on Adaptive Coding of Images using Multiplicative Autoregressive Models. 10th IEEE Region Conference on Communication, 442-446.
  12. Takamura, S. 1996. Efficient Lossless Still Image Coding Based on the Autoregressive Model. Ph. D. thesis, University of Tokyo.
  13. Chakravarti, S. , Jung, T-P. , Ahalt, S. C. and Krishnamurthy, A. K. 1999. Comparison of Prediction Methods for Differential Image Processing Applications, Proceedings of the IEEE International Conference on System Engineering, 210-213.
  14. Harrison, C. W. 1952. Experiments with Linear Prediction in Television. Bell System Technology Journal, 31, 764-783.
  15. Connor, D. J. , Pease, R. F. W. and Scholes, W. G. 1971. Television Coding using Two-Dimensional Spatial Prediction. Bell System Technology Journal, 50(3), 1049-1061.
  16. Musmann, H. G. 1979. Predictive Image Coding. Image Transmission Techniques Advances in Electronics and Electron Physics, 12, 73-112.
  17. Balram, N. and Moura, J. M. F. 1996. Noncausal Predictive Image Codec. IEEE Transactions on Image Processing, 5(8), 1229-1242.
  18. Das, M. and Burgett, S. 1993. Lossless Compression of Medical Images Using Two Dimensional Multiplicative Autoregressive Models. IEEE Transactions on Medical Imaging, 12(4), 721-726.
  19. Chen, Z. D. , Chang, R. F. and Kuo, W. J. , 1999. Adaptive Predictive Multiplicative Autoregressive Model for Medical Image Compression. IEEE Transactions on Medical Imaging, 18(2), 181-184.
  20. Das, M. and Burgett, S. 1992. A Lossless Medical Image Compression Scheme Based on Two-Dimensional Space Varying Multiplicative Autoregressive Models. Technical Report TR-92-ESE-06-02, University of Oakland.
  21. Das, M. and Lin, C. 1996. Lossless Compression of Medical Images Using Hierarchical Autoregressive Models. 9th IEEE Symposium on Computer-Based Medical Systems, 6-11.
  22. Kakusho, O. and Yanagida, M. 1982. Hierarchical AR Model for Time Verying Speech Signals. Proceedings of the IEEE international conference on Acoustics, Speech and Signal Processing, 1295-1298.
  23. Tang, H. and Kamata, S-I. 2006. A Gradient Based Predictive Coding for Lossless Image Compression. IEICE Transactions on Information and Systems, E89-D(7), 2250-2256.
  24. Avramovi?, A. and Savi?, S. 2011. Lossless Predictive Compression of Medical Images. Serbian Journal of Electrical Engineering, 8(1), 27-36.
  25. Mukherjee, A. , Sarkar, M. and Halder, A. 2012. Predictive Lossless Color Image Compression using Arithmetic Operation. International Journal of Computer Applications, 43(5), 43-46.
  26. George, L. E. and Sultan, B. 2011. Image Compression Based on Wavelet, Polynomial and Quadtree. Journal of Applied Computer Science & Mathematics, 11(5), 15-20.
Index Terms

Computer Science
Information Sciences

Keywords

Medical images lossless image compression predictive coding and polynomial representation

Powered by PhDFocusTM