An Incredibly Fast Camera And What It Does: 100 Billion Fps

Light-Speed Camera Captures Split-Second Action

The enhanced ultrafast camera is three billion times faster than the one on an iPhone, the researchers say

Larry Greenmeier | July 5, 2016

A new approach to high-speed photography could help capture the clearest-ever footage of light pulses, explosions or neurons firing in the brain, according to a team of ultrafast camera developers. The technique involves shooting 100 billion frames per second in a single exposure without an external light source. That means, for example, there would be no need to set off multiple explosions just to gather enough data to create a video reconstructing exactly how chemicals react to create the blast.

"Operation principle of the space- and intensity-constrained (SIC) reconstruction for compressed ultrafast photography (CUP)." Source: https://www.osapublishing.org/optica/fulltext.cfm?uri=optica-3-7-694&id=345220

<more at http://www.scientificamerican.com/article/light-speed-camera-captures-split-second-action/; related articles and links: http://www.digitaltrends.com/photography/light-speed-cup-camera-update/ (Researchers just improved the camera that shoots a billion frames per second. July 5, 2016) and https://www.osapublishing.org/optica/abstract.cfm?uri=optica-3-7-694 (Space- and intensity-constrained reconstruction for compressed ultrafast photography. Liren Zhu, Yujia Chen, Jinyang Liang, Qiaofeng Xu, Liang Gao, Cheng Ma, and Lihong V. Wang. Optica, vol. 3, isue 7, pp. 694-697 (2016). doi: 10.1364/OPTICA.3.000694. [Abstract; The single-shot compressed ultrafast photography (CUP) camera is the fastest receive-only camera in the world. In this Letter, we introduce an external CCD camera and a space- and intensity-constrained (SIC) reconstruction algorithm to improve the image quality of CUP. The external CCD camera takes a time-unsheared image of the dynamic scene. Unlike the previously used unconstrained algorithm, the proposed algorithm incorporates both spatial and intensity constraints based on the additional prior information provided by the external CCD camera. First, a spatial mask is extracted from the time-unsheared image to define the zone of action. Next, an intensity threshold is determined based on the similarity between the temporally projected image of the reconstructed datacube and the time-unsheared image. Both simulation and experimental studies show that the SIC reconstruction improves the spatial resolution, contrast, and general quality of the reconstructed image.])>