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Light Field Compressive Sensing In Camera Arrays

Publications associées (35)

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PANOPTIC An Interconnected Network of Cameras

Kerem Seyid

Multi-camera systems have attracted attention in recent years due to rapidly dropping cost of digital cameras. This has enabled wide variety of new research topics and applications for Multi View Imaging (MVI) systems. Virtual view synthesis, high performa ...

2012

Light Field Compressive Sensing in Camera Arrays

Mahdad Hosseini Kamal

This paper presents a novel approach to capture light field in cam- era arrays based on the compressive sensing framework. ...

2012

Results of the prototype camera for FACT

Werner Lustermann, Mathieu Ribordy, Thomas Günther Bretz

The maximization of the photon detection efficiency (PDE) is a key issue in the development of cameras for Imaging Atmospheric Cherenkov Telescopes. Geiger-mode Avalanche Photodiodes (G-APD) are a promising candidate to replace the commonly used photomulti ...

2011

Distributed Sensor Perception via Sparse Representation

Michael Christoph Gastpar

In this paper, sensor network scenarios are considered where the underlying signals of interest exhibit a degree of sparsity, which means that in an appropriate basis, they can be expressed in terms of a small number of nonzero coefficients. Following the ...

2010

Sensing and Recovery under Sparsity Constraints

Ali Hormati

Popular transforms, like the discrete cosine transform or the wavelet transform, owe their success to the fact that they promote sparsity. These transforms are capable of extracting the structure of a large class of signals and representing them by a few t ...

EPFL2010

Sparse Image Representation by Directionlets

Martin Vetterli, Vladan Velisavljevic, Pier Luigi Dragotti

Despite the success of the standard wavelet transform (WT) in image processing in recent years, the efficiency and sparsity of its representation are limited by the spatial symmetry and separability of its basis functions built in the horizontal and vertic ...

Elsevier2010

Distributed Representation of Geometrically Correlated Images with Compressed Linear Measurements

Pascal Frossard, Vijayaraghavan Thirumalai

The distributed representation of correlated images is an important challenge in applications such as multi-view imaging in camera networks or low complexity video coding. This paper addresses the problem of distributed coding of images whose correlation i ...

2010

On Pixel Detection Threshold in the Gigavision Camera

Martin Vetterli, Edoardo Charbon, Sabine Süsstrunk, Luciano Sbaiz, Feng Yang

Recently, we have proposed a new image device called gigavision camera whose most important characteristic is that pixels have binary response. The response function of a gigavision sensor is non-linear and similar to a logarithmic function, which makes th ...

2010

On unifying sparsity and geometry for image-based 3D scene representation

Ivana Tosic

Demand has emerged for next generation visual technologies that go beyond conventional 2D imaging. Such technologies should capture and communicate all perceptually relevant three-dimensional information about an environment to a distant observer, providin ...

EPFL2009

Compressive Sensing for Background Subtraction

Volkan Cevher

Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reconstructed from a small set of random projections, provided that the signal is sparse i ...

2008