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Proceedings Paper

MR images denoising using DCT-based unbiased nonlocal means filter
Author(s): Xiuqing Zheng; Jinrong Hu; Jiuliu Zhou
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Paper Abstract

The non-local means (NLM) filter has been proven to be an efficient feature-preserved denoising method and can be applied to remove noise in the magnetic resonance (MR) images. To suppress noise more efficiently, we present a novel NLM filter by using a low-pass filtered and low dimensional version of neighborhood for calculating the similarity weights. The discrete cosine transform (DCT) is used as a smoothing kernel, allowing both improvements in similarity estimation and computational speed-up. Experimental results show that the proposed filter achieves better denoising performance in MR Images compared to others filters, such as recently proposed NLM filter and unbiased NLM (UNLM) filter.

Paper Details

Date Published: 14 March 2013
PDF: 5 pages
Proc. SPIE 8768, International Conference on Graphic and Image Processing (ICGIP 2012), 876873 (14 March 2013); doi: 10.1117/12.2008435
Show Author Affiliations
Xiuqing Zheng, Sichuan Univ. (China)
Jinrong Hu, Sichuan Univ. (China)
Jiuliu Zhou, Sichuan Univ. (China)

Published in SPIE Proceedings Vol. 8768:
International Conference on Graphic and Image Processing (ICGIP 2012)
Zeng Zhu, Editor(s)

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