Single pixel imaging


Single pixel compressive imaging

Dr Michael Mazilu | School of Physics & Astronomy

An image is worth a thousand words. This statement holds not only true in every day life but even more so in science. In a broader sense any position dependent measure can be understood as an imaging technique. One of the major challenges in imaging is correcting for aberrations, improving speed of imaging and reducing photo toxicity. The proof of concept that this project is developing aims to overcome, to some extent, these challenges. To do this we use structured illuminations and compressive sensing techniques. This approach aims at developing a toolbox (software and hardware) that can be used in medical and bio-photonics imaging context.

Optical Eigenmodes: