Publications related to Super-Resolution from Highly Undersampled Images

Accelerated MP2RAGE imaging using Cartesian phyllotaxis readout and compressed sensing reconstruction

Jean-Philippe Thiran, Tobias Kober, Tom Hilbert, Reto Meuli

Purpose MP2RAGE T-1-weighted imaging has been shown to be beneficial for various applications, mainly because of its good grey-white matter contrast, its B-1-robustness and ability to derive T(1)maps. Even using parallel imaging, the method requires long a ...

WILEY2020

Moiré effects produced by superpositions of micro-lens arrays

Thomas Walger

Moiré effects result from the superimposition of repetitive structures. The beauty of these moirés comes from the fact that macroscopic shapes seem to appear from the superposition of layers containing microscopic patterns. In addition, the moirés are dyna ...

EPFL2020

The Murten Panorama, from 2D to 4D

Sarah Irene Brutton Kenderdine, Daniel Norbert Jaquet

The Murten Panorama (10x100m) was realised by the renowned German panorama painter Louis Braun (1836-1916) in 1893, commissioned by a Swiss consortium. It commemorates the Swiss victory against the army of the Duchy of Burgundy in 1476 and exists as a symb ...

2019

Brillouin Distributed Optical Fiber Sensor Based on a Closed-Loop Configuration

Luc Thévenaz, Marcelo Alfonso Soto Hernandez, Zhisheng Yang, Desmond Chow Ming Chia, Pabitro Ray

A Brillouin optical time-domain analysis (BOTDA) method based on a closed-loop control system is proposed to track fast variations of the Brillouin frequency shift along the sensing fiber. Whilst the method eliminates the gain spectral scanning, the exact ...

2018

Shapes from Pixels

Mitra Fatemi

In today's digital world, sampling is at the heart of any signal acquisition device. Imaging devices are ubiquitous examples that capture two-dimensional visual signals and store them as the pixels of discrete images. The main concern is whether and how th ...

EPFL2016

Sampling and Reconstruction of Shapes with Algebraic Boundaries

Martin Vetterli, Arash Amini, Mitra Fatemi

We present a sampling theory for a class of binary images with finite rate of innovation (FRI). Every image in our model is the restriction of

\mathds{1}_{\{p\leq0\}}

to the image plane, where

\mathds{1}

denotes the indicator function and

p

is some r ...

2016

Attributing Aliasing Artifacts in Dirty Intensity Fields to their Parent Source

Matthieu Martin Jean-André Simeoni

Estimating intensity fields of stochastic phenomenons is of crucial interest in many scientific applications. Typical experimental setups involve an acquisition system, that subsequently filters and samples the probed intensity field. This equivalently def ...

2016

Proximity Operators for Phase Retrieval

Michaël Unser, Frédéric Courbin, Ferréol Arnaud Marie Soulez

We present a new formulation of a family of proximity operators that generalize the projector step for phase retrieval. These proximity operators for noisy intensity measurements can replace the classical "noise-free" projection in any projection-based alg ...

OSA2016

Enhancing local-Transmitting less-Improving global

Martin Vetterli, Benjamin Bejar Haro

Super-resolving a natural image is an ill-posed problem. The classical approach is based on the registration and subsequent interpolation of a given set of low-resolution images. However, achieving satisfactory results typically requires the combination of ...

IEEE2015

Complex pattern projection through a multimode fiber

Demetri Psaltis, Christophe Moser, Damien Claude-Marie Loterie, Salma Farahi

Wavefront shaping through multimode fibers has many interesting applications, such as micromanipulation and endoscopy, where the small diameter of fibers is an advantage in terms of miniaturization. However, pattern projection can suffer from deleterious i ...

Spie-Int Soc Optical Engineering2015

Super-Resolution from Highly Undersampled Images

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Accelerated MP2RAGE imaging using Cartesian phyllotaxis readout and compressed sensing reconstruction

Moiré effects produced by superpositions of micro-lens arrays

The Murten Panorama, from 2D to 4D

Brillouin Distributed Optical Fiber Sensor Based on a Closed-Loop Configuration

Shapes from Pixels

Sampling and Reconstruction of Shapes with Algebraic Boundaries

Attributing Aliasing Artifacts in Dirty Intensity Fields to their Parent Source

Proximity Operators for Phase Retrieval

Enhancing local-Transmitting less-Improving global

Complex pattern projection through a multimode fiber

Accelerated MP2RAGE imaging using Cartesian phyllotaxis readout and compressed sensing reconstruction

Moiré effects produced by superpositions of micro-lens arrays

The Murten Panorama, from 2D to 4D

Shapes from Pixels

Brillouin Distributed Optical Fiber Sensor Based on a Closed-Loop Configuration

Enhancing local-Transmitting less-Improving global

Attributing Aliasing Artifacts in Dirty Intensity Fields to their Parent Source

Complex pattern projection through a multimode fiber

Sampling and Reconstruction of Shapes with Algebraic Boundaries

Proximity Operators for Phase Retrieval