Single pixel hyperspectral bioluminescence tomography based on compressive sensing

Really cool implementation of Single-pixel Imaging + Compressive Sensing from the people at University of Birmingham. Using hyperspectral data measured with a single-pixel spectrometer + tomographic reconstruction, they show that it is possible to perform Bioluminiscence Imaging. Nice to see that the topics I used to work keep showing super cool results. Single pixel hyperspectral…More

Compressive optical imaging with a photonic lantern

New single-pixel camera design, but this time using multicore fibers (MCF) and a photonic lantern instead of a spatial light modulator. Cool! The fundamental idea is to excite one of the cores of a MCF. Then, light propagates through the fiber, which has a photonic lantern at the tip that generates a random-like light pattern at its tip. Exciting different cores…More

Single-pixel imaging with sampling distributed over simplex vertices

Last week I posted a recently uploaded paper on using positive-only patterns in a single-pixel imaging system. Today I just found another implementation looking for the same objective. This time the authors (from University of Warsaw, leaded by Rafał Kotyński) introduce the idea of simplexes, or how any point in some N-dimensional space can be…More

Handling negative patterns for fast single-pixel lifetime imaging

A group of researchers working in France and USA, leaded by N. Ducros, has uploaded an interesting paper this week. When doing single-pixel imaging, one of the most important aspects you need to take into account is the kind of structured patters (functions) you are going to use. This is quite relevant because it is…More

The week in papers (22/04/18)

As a way to keep posts going, I am starting a short recap about interesting papers being published (or being discovered) every now and then. Probably I will write longer posts about some of them in the future. Let’s get this thing going: Two papers using ‘centroid estimation‘ to retrieve interesting information: Extract voice information…More