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HDR reconstruction for alternating gain (ISO) sensor readout
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology. (Visual Computing Laboratory)
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology. (Visual Computing Laboratory)
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology. (Visual Computing Laboratory)ORCID iD: 0000-0002-7765-1747
2014 (English)In: Eurographics 2014 short papers, 2014Conference paper, Published paper (Refereed)
Abstract [en]

Modern image sensors are becoming more and more flexible in the way an image is captured. In this paper, we focus on sensors that allow the per pixel gain to be varied over the sensor and develop a new technique for efficient and accurate reconstruction of high dynamic range (HDR) images based on such input data. Our method estimates the radiant power at each output pixel using a sampling operation which performs color interpolation, re-sampling, noise reduction and HDR-reconstruction in a single step. The reconstruction filter uses a sensor noise model to weight the input pixel samples according to their variances. Our algorithm works in only a small spatial neighbourhood around each pixel and lends itself to efficient implementation in hardware. To demonstrate the utility of our approach we show example HDR-images reconstructed from raw sensor data captured using off-the shelf consumer hardware which allows for two different gain settings for different rows in the same image. To analyse the accuracy of the algorithm, we also use synthetic images from a camera simulation software.

Place, publisher, year, edition, pages
2014.
Keyword [en]
HDR, image reconstruction, dual-ISO, image processing
National Category
Computer Science
Identifiers
URN: urn:nbn:se:liu:diva-104922OAI: oai:DiVA.org:liu-104922DiVA: diva2:700103
Conference
Eurographics, Strasbourg, France, April 7-11, 2014
Projects
VPS
Available from: 2014-03-03 Created: 2014-03-03 Last updated: 2015-09-22Bibliographically approved

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Dual ISO HDR reconstruction(33733 kB)674 downloads
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Hajsharif, SaghiKronander, JoelUnger, Jonas

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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