Publications related to Sampling the Multiple Facets of Light

Color reproduction, pattern hiding and image alternations with halftone prints on metal

We propose new methods for creating color or achromatic images that are printed with classical cyan, magenta, yellow and a white diffusing ink on a metallic substrate. We optimize the surface coverages of the cyan, magenta, yellow and white inks in order t ...

2016

Enhancing Measurement Quality through Active Sampling in Mobile Air Quality Monitoring Sensor Networks

Alcherio Martinoli, Ali Marjovi, Adrian Arfire

In recent years, a growing number of research groups have targeted the development and deployment of networks using low-cost chemical sensors for monitoring air quality. Due to economical reasoning, most of these systems make use of some sort of mobility t ...

IEEE2016

Learning-Based Compressive Subsampling

Volkan Cevher, Jonathan Mark Scarlett, Ilija Bogunovic, Yen-Huan Li, Luca Baldassarre, Baran Gözcü

The problem of recovering a structured signal

\mathbf{x} \in \mathbb{C}^p

from a set of dimensionality-reduced linear measurements

\mathbf{b} = \mathbf {A}\mathbf {x}

arises in a variety of applications, such as medical imaging, spectroscopy, Fourier o ...

Ieee-Inst Electrical Electronics Engineers Inc2016

Second Harmonic and Sum-Frequency Generation from Aqueous Interfaces Is Modulated by Interference

Sylvie Roke

The interfacial region of aqueous systems also known as the electrical double layer can be characterized on the molecular level with second harmonic and sum-frequency generation (SHG/SFG). SHG and SFG are surface specific methods for isotropic liquids. Her ...

American Chemical Society2016

3D Shape Similarity

Fan Zhang

Microsoft Kinect, Google's Project Tango and Lytro's light field camera are all examples of 3D depth sensing reaching the consumer market. As this technology becomes more widestream, new signal processing techniques are needed to exploit this data. Recent ...

2016

Compressed imaging by sparse random convolution

Theo Lasser, Aurélien Bourquard, Antonio Lopez

The theory of compressed sensing (CS) shows that signals can be acquired at sub-Nyquist rates if they are sufficiently sparse or compressible. Since many images bear this property, several acquisition models have been proposed for optical CS. An interestin ...

Optical Society of America2016

Accurate recovery of a specularity from a few samples of the reflectance function

Martin Vetterli, Ivan Dokmanic, Loïc Arnaud Baboulaz, Gilles Baechler

We present a new technique for estimating the specular peak of the bidirectional reflectance distribution function (BRDF) based on finite rate of innovation (FRI) sampling. The specular component of the BRDF varies rapidly, so it is challenging to acquire ...

Ieee2016

Flat lensless phase imager

Christophe Moser, Manon Rostykus

Lensless imaging refers to an imaging technique which requires no imaging element between the light transmitted by the sample and the camera. This configuration enables designing compact devices. In the visible range, it is mainly investigated for microsco ...

Spie-Int Soc Optical Engineering2016

Combinations of adaptive filters: performance and convergence properties

Ali H. Sayed

Adaptive filters are at the core of many signal processing applications, ranging from acoustic noise supression to echo cancelation [1], array beamforming [2], channel equalization [3], to more recent sensor network applications in surveillance, target loc ...

IEEE2016

Multilayer four-flux matrix model accounting for directional-diffuse light transfers

Roger Hersch, Mathieu Hébert

The four-flux model is a method to solve light radiative-transfer problems in planar, possibly multilayer structures. The light fluxes are modeled as two collimated and two diffuse beams propagating forward and backward perpendicularly to the layer stack. ...

Optical Soc Amer2016

Sampling the Multiple Facets of Light

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Color reproduction, pattern hiding and image alternations with halftone prints on metal

Enhancing Measurement Quality through Active Sampling in Mobile Air Quality Monitoring Sensor Networks

Learning-Based Compressive Subsampling

Second Harmonic and Sum-Frequency Generation from Aqueous Interfaces Is Modulated by Interference

3D Shape Similarity

Compressed imaging by sparse random convolution

Accurate recovery of a specularity from a few samples of the reflectance function

Flat lensless phase imager

Combinations of adaptive filters: performance and convergence properties

Multilayer four-flux matrix model accounting for directional-diffuse light transfers

Color reproduction, pattern hiding and image alternations with halftone prints on metal

3D Shape Similarity

Accurate recovery of a specularity from a few samples of the reflectance function

Flat lensless phase imager

Combinations of adaptive filters: performance and convergence properties

Multilayer four-flux matrix model accounting for directional-diffuse light transfers

Second Harmonic and Sum-Frequency Generation from Aqueous Interfaces Is Modulated by Interference

Enhancing Measurement Quality through Active Sampling in Mobile Air Quality Monitoring Sensor Networks

Learning-Based Compressive Subsampling

Compressed imaging by sparse random convolution