Magnetic resonance image denoising using multiple filters

Danni Ai; Jinjuan Wang; Yuichi Miwa

doi:10.1117/12.2030543

19 July 2013 Magnetic resonance image denoising using multiple filters

Danni Ai, Jinjuan Wang, Yuichi Miwa

Author Affiliations +

Proceedings Volume 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013); 887803 (2013) https://doi.org/10.1117/12.2030543
Event: Fifth International Conference on Digital Image Processing, 2013, Beijing, China

Abstract

We introduced and compared ten denoisingfilters which are all proposed during last fifteen years. Especially, the state-of-art denoisingalgorithms, NLM and BM3D, have attracted much attention. Several expansions are proposed to improve the noise reduction based on these two algorithms. On the other hand, optimal dictionaries, sparse representations and appropriate shapes of the transform’s support are also considered for the image denoising. The comparison among variousfiltersis implemented by measuring the SNR of a phantom image and denoising effectiveness of a clinical image. The computational time is finally evaluated.

Citation Download Citation

Danni Ai, Jinjuan Wang, and Yuichi Miwa "Magnetic resonance image denoising using multiple filters", Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 887803 (19 July 2013); https://doi.org/10.1117/12.2030543

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