Sciweavers

95 search results - page 1 / 19
» Segmentation Based Noise Variance Estimation from Background...
Sort
View
ICIAR
2010
Springer
13 years 9 months ago
Segmentation Based Noise Variance Estimation from Background MRI Data
Accurate and precise estimation of the noise variance is often of key importance as an input parameter for posterior image processing tasks. In MR images, background data is well s...
Jeny Rajan, Dirk Poot, Jaber Juntu, Jan Sijbers
TASLP
2008
104views more  TASLP 2008»
13 years 4 months ago
Tracking of Nonstationary Noise Based on Data-Driven Recursive Noise Power Estimation
This paper considers estimation of the noise spectral variance from speech signals contaminated by highly nonstationary noise sources. The method can accurately track fast changes ...
Jan S. Erkelens, Richard Heusdens
ICASSP
2008
IEEE
13 years 11 months ago
Fast noise tracking based on recursive smoothing of MMSE noise power estimates
We consider estimation of the noise spectral variance from speech signals contaminated by highly nonstationary noise sources. In each time frame, for each frequency bin, the noise...
Jan S. Erkelens, Richard Heusdens
ESANN
2008
13 years 6 months ago
Linear Projection based on Noise Variance Estimation - Application to Spectral Data
In this paper, we propose a new methodology to build latent variables that are optimal if a nonlinear model is used afterward. This method is based on Nonparametric Noise Estimatio...
Amaury Lendasse, Francesco Corona
ICIP
2005
IEEE
14 years 6 months ago
Segmenting small regions in the presence of noise
Binary segmentation, a problem of extracting foreground objects from the background, often arises in medical imaging and document processing. Popular existing solutions include Ex...
Rashi Samur, Vitali Zagorodnov