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GPU-Accelerated Frame Pre-Processing for Use in Low Latency Computer Vision Applications
Linköping University, Department of Electrical Engineering, Information Coding.
2017 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The attention for low latency computer vision and video processing applications are growing for every year, not least the VR and AR applications. In this thesis the Contrast Limited Adaptive Histogram Equalization (CLAHE) and Radial Dis- tortion algorithms are implemented using both CUDA and OpenCL to determine whether these type of algorithms are suitable for implementations aimed to run at GPUs when low latency is of utmost importance. The result is an implemen- tation of the block versions of the CLAHE algorithm which utilizes the built in interpolation hardware that resides on the GPU to reduce block effects and an im- plementation of the Radial Distortion algorithm that corrects a 1920x1080 frame in 0.3 ms. Further this thesis concludes that the GPU-platform might be a good choice if the data to be processed can be transferred to and possibly from the GPU fast enough and that the choice of compute API mostly is a matter of taste. 

Place, publisher, year, edition, pages
2017. , p. 44
Keywords [en]
GPU, CUDA, OpenCL, CLAHE, RDC
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:liu:diva-142019ISRN: LiTH-ISY-EX--17/5090--SEOAI: oai:DiVA.org:liu-142019DiVA, id: diva2:1150085
External cooperation
Saab AB
Subject / course
Information Coding
Examiners
Available from: 2017-10-18 Created: 2017-10-17 Last updated: 2018-01-13Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf