Literature DB >> 17578114

Real-time image compression for high-speed particle tracking.

King-Yeung Chan1, Dominik Stich, Greg A Voth.   

Abstract

High-speed particle tracking with digital video creates very large data rates and as a result experimenters are forced to make compromises between spatial resolution, temporal resolution, and the duration over which data is acquired. The images produced in particle tracking experiments typically contain a large amount of black space with relatively few bright pixels and this suggests the possibility of image compression. This paper describes a system for real-time compression of high-speed video. A digital circuit placed between the camera (500 Hz, 1280 x 1024 pixels) and frame grabber compresses data in real-time by comparing input pixels with a threshold value and outputs a vector containing the brightness and position of the bright pixels. In a typical experiment, the compression ratio for an image ranges from 100 to 1000 and varies dynamically depending on the number of filtered pixels. The reduced data rate makes it possible to write directly to the hard disk. While previously data could only be acquired for 6.5 s into 4 GB of dedicated video RAM, the new system could acquire full resolution data continuously for up to a week into a 600 GB hard drive.

Entities:  

Year:  2007        PMID: 17578114     DOI: 10.1063/1.2536719

Source DB:  PubMed          Journal:  Rev Sci Instrum        ISSN: 0034-6748            Impact factor:   1.523


  4 in total

1.  Methods for Measuring the Orientation and Rotation Rate of 3D-printed Particles in Turbulence.

Authors:  Brendan C Cole; Guy G Marcus; Shima Parsa; Stefan Kramel; Rui Ni; Greg A Voth
Journal:  J Vis Exp       Date:  2016-06-24       Impact factor: 1.355

2.  A reconfigurable real-time compressive-sampling camera for biological applications.

Authors:  Bo Fu; Mark C Pitter; Noah A Russell
Journal:  PLoS One       Date:  2011-10-18       Impact factor: 3.240

3.  Context-Aware Image Compression.

Authors:  Jacky C K Chan; Ata Mahjoubfar; Claire L Chen; Bahram Jalali
Journal:  PLoS One       Date:  2016-07-01       Impact factor: 3.240

4.  Extended 3D-PTV for direct measurements of Lagrangian statistics of canopy turbulence in a wind tunnel.

Authors:  Ron Shnapp; Erez Shapira; David Peri; Yardena Bohbot-Raviv; Eyal Fattal; Alex Liberzon
Journal:  Sci Rep       Date:  2019-05-15       Impact factor: 4.379

  4 in total

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