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ISQED
2008
IEEE
150views Hardware» more  ISQED 2008»
14 years 4 months ago
Dominant Substrate Noise Coupling Mechanism for Multiple Switching Gates
— The dominant substrate noise coupling mechanism is determined for multiple switching gates based on a physically intuitive model. The model exhibits reasonable accuracy as comp...
Emre Salman, Eby G. Friedman, Radu M. Secareanu, O...
ICASSP
2008
IEEE
14 years 4 months ago
A new image denoising method based on the bilateral filter
In this paper we propose a new method to reduce noise in digital images. The method is based on the bilateral filter. The bilateral filter is a nonlinear filter that does spati...
Ming Zhang, Bahadir K. Gunturk
ICASSP
2007
IEEE
14 years 4 months ago
MEG Signal Denoising Based on Time-Shift PCA
We present a method for removing environmental noise from physiological recordings such as Magnetoencephalography (MEG) for which noise-sensitive reference channels are available....
Alain de Cheveigné, Jonathan Le Roux, Jonat...
CVPR
2004
IEEE
14 years 1 months ago
Robust Error Metric Analysis for Noise Estimation in Image Indexing
In many computer vision algorithms, the well known Euclidean or SSD (sum of the squared differences) metric is prevalent and justified from a maximum likelihood perspective when t...
Qi Tian, Jie Yu, Qing Xue, Nicu Sebe, Thomas S. Hu...
CVPR
2006
IEEE
14 years 11 months ago
Image Denoising with Shrinkage and Redundant Representations
Shrinkage is a well known and appealing denoising technique. The use of shrinkage is known to be optimal for Gaussian white noise, provided that the sparsity on the signal's ...
Michael Elad, Boaz Matalon, Michael Zibulevsky