Contourlet transform based method for medical image denoising
Other Title(s)
طريقة لإزالة الضوضاء من الصور الطبية باستخدام التحويل الكنتوري
Author
Source
al-Qadisiyah Journal for Computer Science and Mathematics
Issue
Vol. 7, Issue 1 (30 Jun. 2015), pp.1-8, 8 p.
Publisher
University of al-Qadisiyah College of computer Science and Information Technology
Publication Date
2015-06-30
Country of Publication
Iraq
No. of Pages
8
Main Subjects
Natural & Life Sciences (Multidisciplinary)
Medicine
Abstract EN
Noise is an important factor of the medical image quality, because the high noise of medical imaging will not give us the useful information of the medical diagnosis.
Basically, medical diagnosis is based on normal or abnormal information provided diagnose conclusion.
In this paper, we proposed a denoising algorithm based on Contourlet transform for medical images.
Contourlet transform is an extension of the wavelet transform in two dimensions using the multiscale and directional filter banks.
The Contourlet transform has the advantages of multiscale and timefrequency- localization properties of wavelets, but also provides a high degree of directionality.
For verifying the denoising performance of the Contourlet transform, two kinds of noise are added into our samples; Gaussian noise and Speckle noise.
Soft thresholding value for the Contourlet coefficients of noisy image is computed.
Finally, the experimental results of proposed algorithm are compared with the results of wavelet transform.
We found that the proposed algorithm has achieved acceptable results compared with those achieved by wavelet transform.
American Psychological Association (APA)
al-Asadi, Abbas Hannun Hasan. 2015. Contourlet transform based method for medical image denoising. al-Qadisiyah Journal for Computer Science and Mathematics،Vol. 7, no. 1, pp.1-8.
https://search.emarefa.net/detail/BIM-787782
Modern Language Association (MLA)
al-Asadi, Abbas Hannun Hasan. Contourlet transform based method for medical image denoising. al-Qadisiyah Journal for Computer Science and Mathematics Vol. 7, no. 1 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-787782
American Medical Association (AMA)
al-Asadi, Abbas Hannun Hasan. Contourlet transform based method for medical image denoising. al-Qadisiyah Journal for Computer Science and Mathematics. 2015. Vol. 7, no. 1, pp.1-8.
https://search.emarefa.net/detail/BIM-787782
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 6-7
Record ID
BIM-787782