Publications related to Image Modeling and Denoising With Orientation-Adapted Gaussian Scale Mixtures

Path-space Motion Estimation and Decomposition for Robust Animation Filtering

Renderings of animation sequences with physics-based Monte Carlo light transport simulations are exceedingly costly to generate frame-by-frame, yet much of this computation is highly redundant due to the strong coherence in space, time and among samples. A ...

Eurographics Association2015

Modeling the Importance of Faces in Natural Images

Sabine Süsstrunk, Cheryl Shaulya Lau, Appu Shaji, Gökhan Yildirim, Bin Jin

In this work we study the varying importance of faces in images. Face importance is found to be affected by the size and number of faces present. We collected a dataset of 152 face images with faces in different size and number of faces. We conducted a cro ...

Spie-Int Soc Optical Engineering2015

Extremal behavior of squared Bessel processes attracted by the Brown-Resnick process

Sebastian Engelke

The convergence of properly time-scaled and normalized maxima of independent standard Brownian motions to the Brown-Resnick process is well-known in the literature. In this paper, we study the extremal functional behavior of non-Gaussian processes, namely ...

Elsevier Science Bv2015

Statistics of Wavelet Coefficients for Sparse Self-Similar Images

Michaël Unser, Julien René Pierre Fageot, Emrah Bostan

We study the statistics of wavelet coefficients of non-Gaussian images, focusing mainly on the behaviour at coarse scales. We assume that an image can be whitened by a fractional Laplacian operator, which is consistent with an

∥ω∥ ^{ -\gamma }

spectral ...

IEEE2014

Adaptive Image Resizing Based on Continuous-Domain Stochastic Modeling

Michaël Unser, John Paul Ward, Aurélien Bourquard, Hagay Kirshner

We introduce an adaptive continuous-domain modeling approach to texture and natural images. The continuous-domain image is assumed to be a smooth function, and we embed it in a parameterized Sobolev space. We point out a link between Sobolev spaces and sto ...

Ieee-Inst Electrical Electronics Engineers Inc2014

Learning Discriminative Features and Structured Models for Segmentation in Microscopy and Natural Images

Aurélien Lucchi

Segmenting images is a significant challenge that has drawn a lot of attention from different fields of artificial intelligence and has many practical applications. One such challenge addressed in this thesis is the segmentation of electron microscope (EM) ...

EPFL2013

Low-Level Salient Region Detection Using Multi-Scale Filtering

Sabine Süsstrunk, Gökhan Yildirim

Various computer visions tasks require a summary of visually important regions in an image. Thus, developing simple yet accurate salient region detection algorithms has become an important research topic. The currently best performing state-of-the-art sali ...

2013

STATISTICAL MODELING OF THE EYE FOR MULTIMODAL TREATMENT PLANNING FOR EXTERNAL BEAM RADIOTHERAPY OF INTRAOCULAR TUMORS

Meritxell Bach Cuadra, Alessia Pica

A statistical shape model is a suitable tool for high accuracy eye modeling required for treatment planning for external beam radiotherapy of intraocular tumors. In this study, the automatically adapted eye model has been compared to manual segmentation ba ...

Elsevier Science Inc2012

Optimally Localized Wavelets and Smoothing Kernels

Kunal Narayan Chaudhury

It is well-known that the Gaussian functions and, more generally, their modulations-translations (the Gabor functions) have the unique property of being optimally localized in space and frequency in the sense of Heisenberg's uncertainty principle. In this ...

EPFL2011

Conditional probabilities in the excursion set theory: generic barriers and non-Gaussian initial conditions

Andrea De Simone, Michele Maggiore

The excursion set theory, where density perturbations evolve stochastically with the smoothing scale, provides a method for computing the dark matter halo mass function. The computation of the mass function is mapped into the so-called first-passage time p ...

Blackwell Publishing Ltd, Oxford2011

Image Modeling and Denoising With Orientation-Adapted Gaussian Scale Mixtures

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Path-space Motion Estimation and Decomposition for Robust Animation Filtering

Modeling the Importance of Faces in Natural Images

Extremal behavior of squared Bessel processes attracted by the Brown-Resnick process

Statistics of Wavelet Coefficients for Sparse Self-Similar Images

Adaptive Image Resizing Based on Continuous-Domain Stochastic Modeling

Learning Discriminative Features and Structured Models for Segmentation in Microscopy and Natural Images

Low-Level Salient Region Detection Using Multi-Scale Filtering

STATISTICAL MODELING OF THE EYE FOR MULTIMODAL TREATMENT PLANNING FOR EXTERNAL BEAM RADIOTHERAPY OF INTRAOCULAR TUMORS

Optimally Localized Wavelets and Smoothing Kernels

Conditional probabilities in the excursion set theory: generic barriers and non-Gaussian initial conditions

Conditional probabilities in the excursion set theory: generic barriers and non-Gaussian initial conditions

Extremal behavior of squared Bessel processes attracted by the Brown-Resnick process

Learning Discriminative Features and Structured Models for Segmentation in Microscopy and Natural Images

Statistics of Wavelet Coefficients for Sparse Self-Similar Images

Path-space Motion Estimation and Decomposition for Robust Animation Filtering

Low-Level Salient Region Detection Using Multi-Scale Filtering

STATISTICAL MODELING OF THE EYE FOR MULTIMODAL TREATMENT PLANNING FOR EXTERNAL BEAM RADIOTHERAPY OF INTRAOCULAR TUMORS

Modeling the Importance of Faces in Natural Images

Adaptive Image Resizing Based on Continuous-Domain Stochastic Modeling

Optimally Localized Wavelets and Smoothing Kernels