The compressive sensing blog Nuit-Blanche reports this publication: First-photon imaging. The technique allows to capture depth and (limited) reflectivity information using only a small number of photons (virtually in the dark).
Imagers that use their own illumination can capture 3D structure and reflectivity information. With photon-counting detectors, images can be acquired at extremely low photon fluxes. To suppress the Poisson noise inherent in low-flux operation, such imagers typically require hundreds of detected photons per pixel for accurate range and reflectivity determination. We introduce a low-flux imaging technique, called first-photon imaging, which is a computational imager that exploits spatial correlations found in real-world scenes and the physics of low-flux measurements. Our technique recovers 3D structure and reflectivity from the first detected photon at each pixel. We demonstrate simultaneous acquisition of sub-pulse duration range and 4-bit reflectivity information in the presence of high background noise. First-photon imaging may be of considerable value to both microscopy and remote sensing.
A couple of months ago I was posting here about this SIGGRAPH publication on amplification of details in a video. Yesterday the New York Times put online a story as well as a video on the topic, with explanations from the authors and some new examples.
Today I watched a TEDx talk by Jorge Cham, tackling with what he refers to as the science gap, between the people who do science, and the general public. A part of his talk explains the story behind the Higgs Boson animation, and this story alone makes the talk worth watching.