14 March 2013 MR images denoising using DCT-based unbiased nonlocal means filter
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Proceedings Volume 8768, International Conference on Graphic and Image Processing (ICGIP 2012); 876873 (2013) https://doi.org/10.1117/12.2008435
Event: 2012 International Conference on Graphic and Image Processing, 2012, Singapore, Singapore
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.
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Xiuqing Zheng, Jinrong Hu, Jiuliu Zhou, "MR images denoising using DCT-based unbiased nonlocal means filter", Proc. SPIE 8768, International Conference on Graphic and Image Processing (ICGIP 2012), 876873 (14 March 2013); doi: 10.1117/12.2008435; https://doi.org/10.1117/12.2008435
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