A JPEG 2000 BASED HYBRID IMAGE COMPRESSION TECHNIQUE FOR MEDICAL IMAGES

Authors

  • S. K. Hussain Department of Electrical Engineering, University of Engineering and Technology, Taxila, Pakistan
  • G. Raja Department of Electrical Engineering, University of Engineering and Technology, Taxila, Pakistan

Abstract

Use of lossy compression for medical images could result in compression error that may be considered as diagnostic problem by medical doctor. Hybrid schemes, a combination of lossy and lossless compression are used to achieve higher compression ratio without compromising the subjective quality of medical images. This paper proposes a new hybrid compression method for medical images. Different combinations of lossy and lossless compression schemes: RLE, LZW, JPEG LS, JPEG and JPEG2000 are implemented to find out the best hybrid compression combination by keeping subjective quality of medical image as a benchmark. X-ray images are used for experimentation. Experimental results show that hybrid combination of JPEG2000 lossless and lossy JPEG2000 produce optimized results without compromising subject quality of medical images required for diagnostics. The proposed hybrid combination has average compression ratio, space saving, MSE and PSNR of 0.21, 78.97, 1.16 and 47.58 respectively for all the medical images used in experimentation. The proposed hybrid scheme can be used for medical image compression.

References

N. Nagaraj, S. Mukhopadhyay, F. W.

Wheeler and R. S. Avila: Region of interest

and windowing-based progressive medical

image delivery using JPEG2000, Proc. SPIE

(2003) 382.

D. A. Koff and H. Shulman, Journal of

Canadian Association of Radiologists 57

(2006) 211.

M. Tobin: Effects of Lossless and Lossy

Image Compression and Decompression on

Archival Image Quality, at

http://www.mikety.net/Articles/ImageComp/Im

ageComp.html, (2001).

S. W. Hong and P. Bao, IEE Proceedings of

Vision, Image and Signal Processing

(2000) 16.

Y. Jacob, V. Raj, M. M. Sathik and K. S.

Kanna, International Journal on Multimedia

and its Application 2 (2010) 32.

S. Singh, V. Kumar and H. K. Verma, Journal

of Medical Engineering & Technology 31

(2007) 109.

M. J. Zukoski, T. Boult and T. Lyriboz, Int.

Journal of Bioinformatics Research and

Applications 2 (2006) 89.

A. T. Deever and S. S. Hemami, IEEE

Transactions on Image Processing 12 (2003)

N. V. Boulgouris, D. Tzovaras and M. G.

Strintzis, IEEE Transactions on Image

Processing 10 (2001) 1.

K. Somasundaram and S. Domnic,

Transactions on Engineering, Computing and

Technology 13 (2006).

A. Saffor, A. R. Ramli and K-H Ng,

Malaysian Journal of Computer Science 14

(2001) 39.

M. Mrak, S. Grgic and M. Grgic, IEEE

International Conference on Computer as a

Tool (2003) 233.

Downloads

Published

30-11-2011

How to Cite

[1]
S. K. Hussain and G. Raja, “A JPEG 2000 BASED HYBRID IMAGE COMPRESSION TECHNIQUE FOR MEDICAL IMAGES”, The Nucleus, vol. 48, no. 4, pp. 287–293, Nov. 2011.

Issue

Section

Articles