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Signal dependent Rician noise denoising using nonlinear filter


Aarya, I and Jiang, D and Gale, T, Signal dependent Rician noise denoising using nonlinear filter, Lecture Notes on Software Engineering, 1, (4) pp. 344-349. ISSN 2301-3559 (2013) [Refereed Article]

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Copyright Statement

Copyright 2013 International Association of Computer Science and Information Technology Press

DOI: doi:10.7763/LNSE.2013.V1.74


MR images are increasingly used for diagnostic and surgical procedures, as they offer better soft tissue contrast and advanced imaging capabilities. Similar to other imaging modalities, MR images are also subjected to various forms of noises and artifacts. The noise affecting MRI images is known as Rician noise and displays a nonlinear and signal dependent behavior. In this paper we propose a nonlinear filtering method for Rician noise denoising. Nonlinear filters are more capable in addressing signal dependent behavior of noise and offer good denoising with better edge preserving capabilities. A nonlinear filter based on homomorphic filter characteristics has been designed to address Rician noise in MR images. The proposed filter has been implemented on synthetic images and MR images of the articular cartilage. The efficiency of the proposed filtering method is verified by computing the PSNR and SSIM index of the image. The proposed nonlinear filter performs good denoising with improvement in the image quality as observed from the PSNR values of the image. It also offers edge preservation and can be used for both structural MRI and soft tissue study effectively.

Item Details

Item Type:Refereed Article
Keywords:homomorphic filters, MRI Denoising, Rician noise, dignal dependent filtering
Research Division:Information and Computing Sciences
Research Group:Computer vision and multimedia computation
Research Field:Image processing
Objective Division:Health
Objective Group:Clinical health
Objective Field:Clinical health not elsewhere classified
UTAS Author:Aarya, I (Miss Isshaa Aarya)
UTAS Author:Jiang, D (Dr Danchi Jiang)
UTAS Author:Gale, T (Dr Timothy Gale)
ID Code:86849
Year Published:2013
Deposited By:Engineering
Deposited On:2013-10-28
Last Modified:2014-08-28

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