Since the birth CMOS image sensors in the early 90s, pixel pitch has been continuously shrinking in order to increase spatial resolution and to reduce size. However, as pixel shrinks, the signal-to-noise and dynamic range of the sensor also drops. Proposed by Fossum in 2005, Quanta Image Sensor (QIS) is perceived as a possible candidate for the next generation image sensor that overcomes these challenges. Unlike conventional CMOS sensors which accumulate photons, QIS partitions a unit pixel into many tiny cells that only detect the presence or absence of a single photon. As a result, data acquired by the QIS is a massive random binary bit stream and it requires computational methods to decode the image.
In this presentation, I will discuss recent progress made by my group: (i) How to reconstruct images from the quantized Poisson measurements produced by the sensor? (ii) How to adjust the quantization threshold to maximize the dynamic range? (iii) How to design color filter arrays for the sensor? Towards the end of the presentation we will outline a few open problems to be addressed in the future.
Stanley H. Chan is currently an Assistant Professor in the School of Electrical and Computer Engineering and the Department of Statistics at Purdue University, West Lafayette, IN. He received the B.Eng. degree in Electrical Engineering from the University of Hong Kong in 2007, the M.A. degree in Mathematics from UC San Diego in 2009, and the Ph.D. degree in Electrical Engineering from UC San Diego in 2011. In 2012-2014, he was a postdoctoral research fellow at Harvard.
Dr. Chan is a recipient of the Best Paper Award of IEEE International Conference on Image Processing 2016 for his work on single photon image sensors. He is also a recipient of multiple education awards including the IEEE Signal Processing Cup Second Prize 2016, Purdue College of Engineering Outstanding Graduate Mentor Award 2016, Eta Kappa Nu Teaching Award 2015, Eta Kappa Nu Outstanding Professor Award 2018, Purdue Teaching for Tomorrow Fellowship 2018, and Purdue College of Engineering Exceptional Early Career Teaching Award 2019.
Dr. Chan is an Associate Editor of IEEE Transactions on Computational Imaging since 2018, an Associate Editor of OSA Optics Express in 2016-2018, an Elected Member and the subcommittee Chair of the IEEE Signal Processing Society Special Interest Group in Computational Imaging since 2015. He was the co-chair and co-organizer of the computational imaging special session in ICIP 2016, and had served on multiple technical program committees including ICIP, ICASSP, OSA Imaging and Applied Optics Congress, and Midwest Machine Learning Symposium.