Reliable and Efficient coding Technique for Compression of Medical Images based on Region of Interest using Directional Filter Banks

Authors

  • M. Tamilarasi Professor, EBET Group of Institutions,Kangayam - 638108, Tiruppur Dt, Tamilnadu, India

DOI:

https://doi.org/10.24297/jac.v12i21.5123

Keywords:

Contourlet, Directional Filter Banks, DWT, EZW, PSNR, Region Of Interest, Performance measures.

Abstract

Medical images carry huge and vital information. It is necessary to compress the medical images without losing its vital-ness. The proposed algorithm presents a new coding technique based on  image compression using contourlet transform used in different modalities of medical imaging. Recent reports on natural image compression have shown superior performance of contourlet transform, a new extension to the wavelet transform in two dimensions using nonseparable and directional filter banks. As far as medical images are concerned the diagnosis part (ROI) is of much important compared to other regions. Therefore those portions are segmented from the whole image using  fuzzy C-means(FCM) clustering technique. Contourlet transform is then applied to ROI portion which performs Laplacian Pyramid(LP) and Directional Filter Banks. The region of less significance are compressed using Discrete Wavelet Transform and finally modified embedded zerotree wavelet algorithm is applied which uses six symbols instead of four symbols used in Shapiro’s EZW to the resultant image which shows better PSNR and high compression ratio. 

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Author Biography

M. Tamilarasi, Professor, EBET Group of Institutions,Kangayam - 638108, Tiruppur Dt, Tamilnadu, India

Department of Electronics and Communication Engineering,

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Published

2016-12-14

How to Cite

Tamilarasi, M. (2016). Reliable and Efficient coding Technique for Compression of Medical Images based on Region of Interest using Directional Filter Banks. JOURNAL OF ADVANCES IN CHEMISTRY, 12(21), 5372–5381. https://doi.org/10.24297/jac.v12i21.5123

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Articles