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Regularized Interpolation for Noisy Data

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Synchronous and Asynchronous Detection of Ultra-Low Light Levels

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Comprehensive analysis of noise sources in photocharge detectors leads to two novel, compact pixel circuits for ultra-low-noise light detection using optimum bandwidth engineering. A synchronous 4T CMOS image sensor pixel with in-pixel amplification reache ...

2009

Nonparametric Least Squares Regression for Image Reconstruction on the Sphere

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This paper addresses the problem of interpolating signals defined on a 2-d sphere from non-uniform samples. We present an interpolation method based on locally weighted linear and nonlinear regression, which takes into account the differences in importance ...

2009

Assessing airport noise, demand for quietness and land-structure substitution

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This dissertation collects three essays on the hedonic modelling of housing prices, location attributes and environmental amenities – or lack thereof. The first essay applies spatial econometric techniques to measure the impact of airport noise on the pric ...

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TV-Regularized Generation of Planar Images from Omnicams

Pascal Frossard, Pierre Vandergheynst, Laurent Jacques, Didier Raboud

This paper addresses the problem of mapping images between different vision sensors. Such a mapping could be modeled as a sampling problem that has to encompass the change of geometry between the two sensors and the specific discretization of the real scen ...

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Interpolation and Symbol Elimination

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We prove several results related to local proofs, interpolation and superposition calculus and discuss their use in predicate abstraction and invariant generation. Our proofs and results suggest that symbol-eliminating inferences may be an interesting alte ...

Springer-Verlag New York, Ms Ingrid Cunningham, 175 Fifth Ave, New York, Ny 10010 Usa2009

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Short Basis Functions for Constant-Variance Interpolation

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An interpolation model is a necessary ingredient of intensity-based registration methods. The properties of such a model depend entirely on its basis function, which has been traditionally characterized by features such as its order of approximation and it ...

SPIE2008

Short basis functions for constant-variance interpolation - art. no. 69142L

Michaël Unser, Philippe Thévenaz, Thierry Blu

Spie-Int Soc Optical Engineering, Po Box 10, Bellingham, Wa 98227-0010 Usa2008

Consistent And Regularized Magnification Of Images

Michaël Unser, Philippe Thévenaz, Aurélien Bourquard, Katarina Balac

Because more output data must be created than is available from the input, magnification is an III-posed problem. Traditional magnification relies on resampling an interpolation model at the appropriate rate; unfortunately, this simple solution is blind to ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2008

Regularized interpolation for noisy data

Michaël Unser, Philippe Thévenaz, Sathish Ramani

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 presence of noise. Here, we document the breakdown of standard interpolation for noi ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2007