Cameras that achieve resolution by having many pixels spread across space-the surface of the sensor are considered lens-less.

Also, they use a lens to focus the image on the sensor. Single-pixel imagers turn this approach on its head, by using randomly patterned light to illuminate the scene, and recording the result on just one pixel. Repeating of this process over and over again makes it possible to use computational imaging to construct a traditional photograph of the original scene.

It is reported that MIT speeds up its futuristic lensless single-pixel camera by 50 times. Compressive sensing allows cameras without lenses that means just a single pixel –is that do not require lenses. If this technology succeeds then the elimination of the lenses that often are largest and harvest part of a camera will be of great interest.

Compressive sensing is not new technology; Compressive sensing is used in medical Rice University ‘s early design for a single-pixel imager required thousand of exposures. Researchers from MIT’s Media Lab have published results reducing that by a factor of 50 - perhaps just dozens of images.  This was achieved by using quick pulses of light and time of flight sensors to record when they return to the camera.

But the Team at MIT says that their approach of combining it with compressive sensing and structured light is novel. And they think to accomplish this requires some high-end hardware, including picosecond accurate time of flight sensors. 

you can read MIT’s announcement  for more information. 

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