Super resolution of time-of-flight depth images under consideration of spatially varying noise variance

  • Authors:
  • T. Edeler;K. Ohliger;S. Hussmann;A. Mertins

  • Affiliations:
  • Westcoast University of Applied Sciences, Heide, Germany;Westcoast University of Applied Sciences, Heide, Germany;Westcoast University of Applied Sciences, Heide, Germany;Institute for Signal Processing, University of Lübeck, Germany

  • Venue:
  • ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
  • Year:
  • 2009

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Abstract

In this paper we propose a novel way of using time-of-flight camera depth and intensity images to produce a higher resolution depth image with prior knowledge of spatial noise distribution, which is correlated with the incident light falling on each pixel. The proposed method is compared to well-established methods, and results with real image data are presented.