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» Evaluating a General Class of Filters for Image Denoising
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TSP
2008
102views more  TSP 2008»
13 years 7 months ago
Spatially Adaptive Estimation via Fitted Local Likelihood Techniques
Abstract--This paper offers a new technique for spatially adaptive estimation. The local likelihood is exploited for nonparametric modeling of observations and estimated signals. T...
Vladimir Katkovnik, Vladimir Spokoiny
ICIP
2008
IEEE
14 years 9 months ago
Spect image restoration via Recursive Inverse Filtering constrained by a probabilistic MRI atlas
3D Brain SPECT imagery is a well established functional imaging method which has become a great help to physicians in the diagnosis of several neurological and cerebrovascular dis...
Said Benameur, Max Mignotte, Jean-Paul Soucy, Jean...
IV
2006
IEEE
210views Visualization» more  IV 2006»
14 years 1 months ago
FFT and Convolution Performance in Image Filtering on GPU
Many contemporary visualization tools comprise some image filtering approach. Since image filtering approaches are very computationally demanding, the acceleration using graphic...
Ondirej Fialka, Martin Cadík
ICIP
2008
IEEE
14 years 9 months ago
Evaluation and benchmark for biological image segmentation
This paper describes ongoing work on creating a benchmarking and validation dataset for biological image segmentation. While the primary target is biological images, we believe th...
Elisa Drelie Gelasca, Jiyun Byun, Boguslaw Obara, ...
ISBI
2004
IEEE
14 years 8 months ago
Incremental Activation Detection in fMRI Series Using Kalman Filtering
We propose a new detection algorithm for functional magnetic resonance imaging (fMRI) data. Our basic idea is to use an extended Kalman filter (EKF) to fit a general linear model ...
Alexis Roche, Jean-Baptiste Poline, Pierre-Jean La...