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Efficient Hybrid Transform Scheme for Medical Image Compression

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International Journal of Computer Applications
© 2011 by IJCA Journal
Number 7 - Article 4
Year of Publication: 2011
Authors:
Aree Ali Mohammed
Jamal Ali Hussein
10.5120/3313-4548

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

@article{key:article,
	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}
}

Abstract

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.

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