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Efficient Hybrid Transform Scheme for Medical Image Compression

International Journal of Computer Applications
© 2011 by IJCA Journal
Number 7 - Article 4
Year of Publication: 2011
Aree Ali Mohammed
Jamal Ali Hussein

Aree Ali Mohammed and Jamal Ali Hussein. Article: Efficient Hybrid Transform Scheme for Medical Image Compression. International Journal of Computer Applications 27(7):16-20, August 2011. Full text available. BibTeX

	author = {Aree Ali Mohammed and Jamal Ali Hussein},
	title = {Article: Efficient Hybrid Transform Scheme for Medical Image Compression},
	journal = {International Journal of Computer Applications},
	year = {2011},
	volume = {27},
	number = {7},
	pages = {16-20},
	month = {August},
	note = {Full text available}


In recent times, developing hybrid schemes for effective image compression has gained enormous popularity among researchers. This research paper presents a proposed scheme for medical image compression based on hybrid compression technique (DWT and DCT). The goal is to achieve higher compression rates by applying different compression thresholds for the wavelet coefficients of each DWT band (LL and HH) while DCT transform is applied on (HL and LH) bands with preserving the quality of reconstructed medical image. The retained coefficients are quantized by using adaptive quantization according to the type of transformation. Finally the entropy coding (variable shift coding) is used to encode the quantization indices. Experimental results show that the coding performance can be significantly improved by the hybrid DWT-DCT algorithm.


  • M. Antonini, M. Barlaud, P. Mathieu, and I. Daubechies, “Image Coding Using Wavelet Transform”, ieee trans. on image processing, vol. 1, april 1992, pp. 205-220.
  • G. Strang and T. Nguyen, “Wavelets And Filter Banks”, Wellesley-Cambridge Press (1996).
  • “JPEG 2000 Image Coding System”, ISO/IEC CD15444-1: 1999 (Version 1.0).
  • Hsi-Chin Hsin, Jenn-Jier Lien, and Tze-Yun Sung, “A Hybrid SPIHT-EBC Image Coder”, IAENG International Journal of Computer Science, Volume 34, Issue 1, 2007.
  • D. Rawat, S. Meher, “A Hybrid Coding Scheme Combining SPIHT and SOFM Based Vector Quantization for Effectual Image Compression”, European Journal of Scientific Research Vol.38 No.3 (2009), pp.425-440.
  • Yung-Gi Wu and Shen-Chuan Tai, “Medical image compression by discrete cosine transform spectral similarity strategy”. IEEE Transactions on Information Technology in Biomedicine, 2001 Sep, volume 5, issue 3, pp. 236-243.
  • Wen-Chien Yan and Yen-Yu Chen, “DCT-Based Image Compression Using Wavelet-Based Algorithmwith Efficient Deblocking Filter”, 14th European Signal Processing Conference (EUSIPCO 2006), Florence, Italy, September 4-8, 2006.
  • Loay A. George, Aree A. Mhammad, “Intra Frame Compression Using Lifting Scheme Wavelet-Based Transformation (9/7-Tap Cdf Filter)”, International Conference on Multimedia Systems and Applications, MSA 2007, June 25-28, 2007, Las Vegas Nevada, USA.
  • Singh S., Kumar V and Verma HK.,“ DWT-DCT hybrid scheme for medical image compression.”, Journal of Medical Engineering & Technology, Vol.31 No. 2, 2007, pp. 109-122.
  • Suchitra S. and Khan A., “A Sub-sample Based Hybrid DWT-DCTAlgorithm for Medical Imaging Applications”, Journal of Selected Areas in Bioengineering, 2010.