End-to-End Video Compressive Sensing Using Anderson-Accelerated Unrolled Networks
Yuqi Li, Miao Qi, Rahul Gulve, Mian Wei, Roman Genov, Kiriakos N. Kutulakos and Wolfgang Heidrich ICCP 2020 Abstract Compressive imaging systems with spatial-temporal encoding can be used to capture and reconstruct fast-moving objects. The imaging quality highly depends on the choice of encoding masks and reconstruction methods. In this paper, we present a new…
5.5 Dual-Tap Pipelined-Code-Memory Coded-Exposure-Pixel CMOS Image Sensor for Multi-Exposure Single-Frame Computational Imaging
Navid Sarhangnejad, Nikola Katic, Zhengfan Xia, Mian Wei, Nikita Gusev, Gairik Dutta, Rahul Gulve, Harel Haim, Manuel Moreno Garcia, David Stoppa, Kiriakos N. Kutulakos and Roman Genov IEEE International Solid-State Circuits Conference-(ISSCC) 2019 Abstract Modern computational photography applications such as 3D sensing, gesture analysis, and robotic navigation drive the growing need for programmability, or coding,…
Dual-tap Computational Photography Image Sensor with Per-pixel Pipelined Digital Memory for Intra-frame Coded Multi-exposure
Navid Sarhangnejad, Nikola Katic, Zhengfan Xia, Mian Wei, Nikita Gusev, Gairik Dutta, Rahul Gulve, Peter Zhi Xuan Li, Hui Feng Ke, Harel Haim, Manuel Moreno-García, David Stoppa, Kiriakos N Kutulakos and Roman Genov IEEE JOURNAL OF SOLID-STATE CIRCUITS Abstract A coded-exposure-pixel image sensor for computational imaging applications is presented. Each frame exposure time is divided…