Created by sebastien.popoff on 13/05/2014

Talks Wavefront shaping

Photoacoustic Imaging with Coherent Light

Emmanuel Bossy

Workshop: Inverse Problems and Imaging, Paris
12 February 2013

Hosted by Yves Capdeboscq

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Created by sebastien.popoff on 18/11/2013

Talks Wavefront shaping

Coherent control of the total transmission of light through disordered media

Sébastien Popoff

FiO, Orlando, FL, USA,
October 2013

We demonstrate order of magnitude coherent control of total transmission of light through random media by shaping the wave front of the input light. To understand how the finite illumination area on a wide slab affects the maximum values of total transmission, we develop a model based on random matrix theory that reveals the role of long-range correlations. Its predictions are confirmed by numerical simulations and provide physical insight into the experimental results.
Presentation of the article [S.M. Popoff et al., Phys. Rev. Lett. 104, (2014)]

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Created by sebastien.popoff on 13/11/2013

Talks Wavefront shaping

Imaging through opaque layers

 TedxTwenteu - Simon Huisman

Friday, 11 October, 2013


Abstract:
Simon Huisman, a recent doctoral graduate with both the COPS and OS group at the University of Twente, talks about an interesting phenomenon which earned the COPS group a picture on the cover of Nature: imaging through opaque layers. With a live setup Simon shows us that with the aid of lasers it is possible to look through opaque objects (e.g. milk or paper) and will he talk about the consequences of this new technology.

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Created by sebastien.popoff on 09/09/2013

Highlights

Imaging with nature: Using a scattering medium as a universal scrambler for imaging by compressed sensing

[A. Liutkus et al., Sci. Rep. 5, (2014)]

The idea of compressive sensing is to acquire an image with fewer measurements than dictated by the Shannon-Nyquist theorem. In other words, an image divided into "pixels" can usually be reconstructed using fewer measurements than the total number of pixels. To do so, one needs a way to mix the information, so that any measurement contains at least a bit of information on any input element. Previous implementations of compressive sensing consisted of artificially designing hardware and a sampling procedure to generate randomness. In the present paper, the authors show that one can use a random scattering medium as a universal image scrambler. The light reflected from an image propagates through a layer of white paint and the field is measured on different receptors on the other side of the sample. By previously measuring the transmission matrix, the authors show that sparse images can be successfully reconstructed using compressed sensing techniques taking advantage of the randomness generated by multiple scattering.

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