53 search results - page 2 / 11 » Principal components for non-local means image denoising |
MICCAI
2008
Springer
14 years 6 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
14 years 5 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
14 years 6 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
13 years 8 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
14 years 6 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 ...