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ISBI
2007
IEEE
13 years 11 months ago
Regularized Interpolation for Noisy Data
Interpolation is a vital tool in biomedical signal processing. Although there exists a substantial literature dedicated to noise-free conditions, much less is known in the presenc...
Sathish Ramani, Philippe Thévenaz, Michael ...
TMI
2010
112views more  TMI 2010»
13 years 3 months ago
Regularized Interpolation for Noisy Images
Abstract—Interpolation is the means by which a continuouslydefined model is fit to discrete data samples. When the data samples are exempt of noise, it seems desirable to build...
Sathish Ramani, Philippe Thévenaz, Michael ...
ICIP
2008
IEEE
14 years 6 months ago
Directional interpolation of noisy images
Most of the existing image interpolation schemes assume that the image is noise free. This assumption is invalid in practice because noise will be corrupted in the image acquisiti...
Lei Zhang, Xin Li
ICASSP
2010
IEEE
13 years 5 months ago
Graph-based regularization for spherical signal interpolation
This paper addresses the problem of the interpolation of 2-d spherical signals from non-uniformly sampled and noisy data. We propose a graph-based regularization algorithm to impr...
Tamara Tosic, Tamara Frossard
TIP
2010
160views more  TIP 2010»
12 years 11 months ago
Development and Optimization of Regularized Tomographic Reconstruction Algorithms Utilizing Equally-Sloped Tomography
We develop two new algorithms for tomographic reconstruction which incorporate the technique of equally-sloped tomography (EST) and allow for the optimized and flexible implementat...
Yu Mao, Benjamin P. Fahimian, Stanley Osher, Jianw...