Fleischer turns noise into vision
Prof. Jason Fleischer has developed a new technique for revealing images of hidden objects that may one day allow pilots to navigate through fog and doctors to see more precisely into the human body without surgery. This method relies on the ability to clarify an image using rays of light that would typically make the image unrecognizable. While experimenting, the researchers, Prof. Jason Fleischer and EE Graduate student Dmitry Dylov, were able to restore an obscured image into a clear pattern of numbers and lines. The process is much like that used to improve poor TV reception using the noisy part of the signal to improve quality. The researchers used the energy from the noise to amplify the weak signal, the distant or dark image, and improved the quality of the signal. The findings were reported online on March 14 in Nature Photonics. Complete article can be found here.
