An Efficient Region of Interest-Based Hybrid Compression Technique for Medical Images

Seddeq Ghrare (1) , Khaled Gharari (2)
(1) Department of Electrical and Computer Engineering, Faculty of Engineering, University of Gharyan, Gharyan, Libya,
(2) Department of Computer Science, Faculty of Education, University of Gharyan, Gharyan, Libya

Abstract

Medical images modalities are extensively adapted to diagnosis disease. These imaging modalities include computed tomography (CT), magnetic resonance imaging (MRI), ultrasound (US), and X-ray… etc. The problem associated with medical images is the storage space and bandwidth required for archiving and transmission of this kind of images. Thus image compression is a key factor to reduce the bit rate for transmission or storage while maintaining an acceptable reproduction quality. In this paper, an efficient ROI compression approach using hybrid lossy-lossless compression will be presented. This method is based on applying discreet wavelet transform (DWT) as a lossy method and grayscale and binary matrix (GSBM) coding algorithm as lossless method. The results show that the proposed method performs much better than Jpeg-lossless especially with smaller regions of interest.

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References

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Authors

Seddeq Ghrare
Khaled Gharari
Ghrare, S., & Gharari, K. (2018). An Efficient Region of Interest-Based Hybrid Compression Technique for Medical Images. Journal of Pure & Applied Sciences , 17(2), 296-300. https://doi.org/10.51984/jopas.v17i2.186

Article Details

How to Cite

Ghrare, S., & Gharari, K. (2018). An Efficient Region of Interest-Based Hybrid Compression Technique for Medical Images. Journal of Pure & Applied Sciences , 17(2), 296-300. https://doi.org/10.51984/jopas.v17i2.186

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