Publications related to Feature Extraction for Image Super-resolution using Finite Rate of Innovation Principles

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

Compressed delay-and-sum beamforming for ultrafast ultrasound imaging

Jean-Philippe Thiran, Yves Wiaux, Rafael Eduardo Carrillo Rangel, Adrien Georges Jean Besson, Olivier Bernard

The theory of compressed sensing (CS) leverages upon structure of signals in order to reduce the number of samples needed to reconstruct a signal, compared to the Nyquist rate. Although CS approaches have been proposed for ultrasound (US) imaging with prom ...

Ieee2016

High-resolution monitoring of bedload transport rates: a benchmark of two approaches (accelerometers and image processing).

Blaise Etienne Marceau Dhont, Gauthier Paul Daniel Marie Rousseau

Experimental and field studies have shown how intermittent bedload transport can be at low flow rates. The development and validation of bedload-transport equations require high-resolution records over long periods of time. Two technologies are considered ...

2016

Exploring information retrieval using image sparse representations

William Guicquéro

New advances in the field of image sensors (especially in CMOS technology) tend to question the conventional methods used to acquire the image. Compressive Sensing (CS) plays a major role in this, especially to unclog the Analog to Digital Converters which ...

EPFL2015

Air-ground Matching: Appearance-based GPS-denied Urban Localization of Micro Aerial Vehicles

Davide Scaramuzza

In this paper, we address the problem of globally localizing and tracking the pose of a camera-equipped micro aerial vehicle (MAV) flying in urban streets at low altitudes without GPS. An image-based global positioning system is introduced to localize the ...

John Wiley & Sons2015

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

Robust Image Reconstruction from Multiview Measurements

Pierre Vandergheynst, Gilles Puy

We propose a novel method to accurately reconstruct a set of images representing a single scene from a few linear multiview measurements. Each observed image is modeled as the sum of a background image and a foreground one. The background image is common t ...

Siam Publications2014

Recovering Badly Exposed Objects From Digital Photos Using Internet Images

Sabine Süsstrunk, Stefan Winkler

In this paper we consider the problem of clipped-pixel recovery over an entire badly exposed image region, using two correctly exposed images of the scene that may be captured under different conditions. The first reference image is used to recover texture ...

2014

Accurate image registration using approximate Strang-Fix and an application in super-resolution

Adam James Scholefield, Pier Luigi Dragotti

Accurate registration is critical to most multi-channel signal processing setups, including image super-resolution. In this paper we use modern sampling theory to propose a new robust registration algorithm that works with arbitrary sampling kernels. The a ...

2014

Transformation-Invariant Analysis of Visual Signals with Parametric Models

Elif Vural

The analysis of collections of visual data, e.g., their classification, modeling and clustering, has become a problem of high importance in a variety of applications. Meanwhile, image data captured in uncontrolled environments by arbitrary users is very li ...

EPFL2013

Feature Extraction for Image Super-resolution using Finite Rate of Innovation Principles

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Sampling and Reconstruction of Shapes with Algebraic Boundaries

Compressed delay-and-sum beamforming for ultrafast ultrasound imaging

High-resolution monitoring of bedload transport rates: a benchmark of two approaches (accelerometers and image processing).

Exploring information retrieval using image sparse representations

Air-ground Matching: Appearance-based GPS-denied Urban Localization of Micro Aerial Vehicles

Enhancing local-Transmitting less-Improving global

Robust Image Reconstruction from Multiview Measurements

Recovering Badly Exposed Objects From Digital Photos Using Internet Images

Accurate image registration using approximate Strang-Fix and an application in super-resolution

Transformation-Invariant Analysis of Visual Signals with Parametric Models

Exploring information retrieval using image sparse representations

High-resolution monitoring of bedload transport rates: a benchmark of two approaches (accelerometers and image processing).

Robust Image Reconstruction from Multiview Measurements

Sampling and Reconstruction of Shapes with Algebraic Boundaries

Compressed delay-and-sum beamforming for ultrafast ultrasound imaging

Recovering Badly Exposed Objects From Digital Photos Using Internet Images

Transformation-Invariant Analysis of Visual Signals with Parametric Models

Air-ground Matching: Appearance-based GPS-denied Urban Localization of Micro Aerial Vehicles

Enhancing local-Transmitting less-Improving global

Accurate image registration using approximate Strang-Fix and an application in super-resolution