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Medical image denoising using mixed transforms
Author
Source
Journal of University of Babylon for Engineering Sciences
Issue
Vol. 26, Issue 4 (30 Apr. 2018), pp.272-281, 10 p.
Publisher
Publication Date
2018-04-30
Country of Publication
Iraq
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
In this paper, a mixed transform method is proposed based on a combination of wavelet transform (WT) and multiwavelet transform (MWT) in order to denoise medical images.
The proposed method consists of WT and MWT in cascade form to enhance the denoising performance of image processing.
Practically, the first step is to add a noise to Magnetic Resonance Image (MRI) or Computed Tomography(CT) images for the sake of testing.
The noisy image is processed by WT to achieve four sub-bands and each sub-band is treated individually using MWT before the soft/hard denoising stage.
Simulation results show that a high peak signal to noise ratio (PSNR) is improved significantly and the characteristic features arewell preserved by employing mixed transform of WT and MWT due to their capability of separating noise signals from image signals.Moreover, the corresponding mean square error (MSE) is decreased accordingly compared to other available methods.
American Psychological Association (APA)
Jamil, Jalil Sadun. 2018. Medical image denoising using mixed transforms. Journal of University of Babylon for Engineering Sciences،Vol. 26, no. 4, pp.272-281.
https://search.emarefa.net/detail/BIM-930916
Modern Language Association (MLA)
Jamil, Jalil Sadun. Medical image denoising using mixed transforms. Journal of University of Babylon for Engineering Sciences Vol. 26, no. 4 (2018), pp.272-281.
https://search.emarefa.net/detail/BIM-930916
American Medical Association (AMA)
Jamil, Jalil Sadun. Medical image denoising using mixed transforms. Journal of University of Babylon for Engineering Sciences. 2018. Vol. 26, no. 4, pp.272-281.
https://search.emarefa.net/detail/BIM-930916
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 280-281
Record ID
BIM-930916