53 search results - page 2 / 11 » Principal components for non-local means image denoising |
MICCAI
2008
Springer
15 years 10 months ago
2008
Springer
Diffusion-Weighted MRI (DW-MRI) is subject to random noise yielding measures that are different from their real values, and thus biasing the subsequently estimated tensors. The Non...
ISBI
2008
IEEE
15 years 10 months ago
2008
IEEE
In ultrasound (US) imaging, denoising is intended to improve quantitative image analysis techniques. In this paper, a new version of the Non Local (NL) Means filter adapted for US...
MICCAI
2008
Springer
15 years 10 months ago
2008
Springer
In this paper we study the impact of denoising the raw high angular resolution diffusion imaging (HARDI) data with the Non-Local Means filter adapted to Rician noise (NLMr). We fir...
ICPR
2010
IEEE
15 years 1 months ago
2010
IEEE
Obtaining high quality images in MR is desirable not only for accurate visual assessment but also for automatic processing to extract clinically relevant parameters. Filtering-bas...
ICIP
2003
IEEE
15 years 11 months ago
2003
IEEE
This paper presents a novel approach to image denoising using adaptive principal components. Our assumptions are that the image is corrupted by additive white Gaussian noise. The ...