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FPGA-Accelerated Dehazing by Visible and Near-infrared Image Fusion
Mälardalen University, School of Innovation, Design and Engineering.
2015 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Fog and haze can have a dramatic impact on vision systems for land and sea vehicles. The impact of such conditions on infrared images is not as severe as for standard images. By fusing images from two cameras, one ordinary and one near-infrared camera, a complete dehazing system with colour preservation can be achieved. Applying several different algorithms to an image set and evaluating the results, the most suitable image fusion algoritm has been identified. Using an FPGA, a programmable integrated circuit, a crucial part of the algorithm has been implemented. It is capable of producing processed images 30 times faster than a laptop computer. This implementation lays the foundation of a real-time dehazing system and provides a significant part of the full solution. The results show that such a system can be accomplished with an FPGA.

Place, publisher, year, edition, pages
2015.
Keyword [en]
Image Fusion, Acceleration, FPGA, Vision System
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:mdh:diva-28322OAI: oai:DiVA.org:mdh-28322DiVA: diva2:821866
External cooperation
Cybercom Group
Subject / course
Computer Science
Supervisors
Examiners
Available from: 2015-06-30 Created: 2015-06-15 Last updated: 2015-06-30Bibliographically approved

Open Access in DiVA

fulltext(5642 kB)223 downloads
File information
File name FULLTEXT01.pdfFile size 5642 kBChecksum SHA-512
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Type fulltextMimetype application/pdf

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Karlsson, Jonas
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School of Innovation, Design and Engineering
Computer Vision and Robotics (Autonomous Systems)

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Total: 223 downloads
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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