The Quanta Image Sensor (QIS), a photon-counting image sensor, counts each electron generated in the sensor chip and then applies computational imaging to create a gray scale image or extract other information. First proposed in 2005, the QIS has been implemented starting around 2015 by using a CMOS image sensor (CIS) based approach, CIS-QIS, and by using a single-photon avalanche detector (SPAD) approach, SPAD-QIS. Both are visible-light devices based on silicon. This talk will focus on the CIS-QIS developed at Dartmouth and being commercialized by Gigajot with computational imaging development at Purdue and Gigajot. The CIS-QIS device has been demonstrated with up to 20Mpixels per chip and does not use avalanche multiplication which allows for small pixels with low power dissipation.
The talk will start with the QIS concept including strategies for high dynamic range and photon-number resolution, as well as a review of the work at Dartmouth. A brief comparison with SPAD-QIS that permits fast timing resolution but with larger pixels and lower resolution will be made. Next, computational imaging approaches and results including high dynamic range and low-light neural-net image classification will be presented. Work underway at Gigajot including color imaging and potential commercial applications will then be discussed.