P2C2: Programmable Pixel Compressive Camera for High Speed Imaging.

We describe an imaging architecture for compressive video sensing termed programmable pixel compressive camera (P2C2). P2C2 allows us to capture fast phenomena at frame rates higher than the camera sensor. In P2C2, each pixel has an independent shutter that is modulated at a rate higher than the camera frame-rate. The observed intensity at a pixel is an integration of the incoming light modulated by its specific shutter. We propose a reconstruction algorithm that uses the data from P2C2 along with additional priors about videos to perform temporal superresolution. We model the spatial redundancy of videos using sparse representations and the temporal redundancy using brightness constancy constraints inferred via optical flow. We show that by modeling such spatio-temporal redundancies in a video volume, one can faithfully recover the underlying high-speed video frames from the observed low speed coded video. The imaging architecture and the reconstruction algorithm allows us to achie...

• Type: Journal
• Year: 2011
• Where: CVPR
• Authors: Dikpal Reddy, Ashok Veeraraghavan
• Keywords: Camera, Computer Vision, CVPR 2011, Imaging Architecture, Pixel Compressive Camera