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Color correction for multi-view video using energy minimization of view networks

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Abstract

Systems using numerous cameras are emerging in many fields due to their ease of production and reduced cost, and one of the fields where they are expected to be used more actively in the near future is in image-based rendering (IBR). Color correction between views is necessary to use multi-view systems in IBR to make audiences feel comfortable when views are switched or when a free viewpoint video is displayed. Color correction usually involves two steps: the first is to adjust camera parameters such as gain, brightness, and aperture before capture, and the second is to modify captured videos through image processing. This paper deals with the latter, which does not need a color pattern board. The proposed method uses scale invariant feature transform (SIFT) to detect correspondences, treats RGB channels independently, calculates lookup tables with an energy-minimization approach, and corrects captured video with these tables. The experimental results reveal that this approach works well.

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Correspondence to Kenji Yamamoto.

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Kenji Yamamoto received his B.Eng. and M.Eng. degrees in electrical and mechanical engineering, and Ph.D. degree in information electronics from Nagoya University, Nagoya, Japan, in 1993, 1995, and 2007, respectively. He is currently an expert researcher at the National Institute of Information and Communications Technology in Japan.

His research interests include 3D image capture, free viewpoint video generation, multi-view video coding, 3D display, and digital holography systems.

Ryutaro Oi received his Ph.D. degree in science from the University of Tokyo, Japan, in 2004. From 2004 to 2006, he was a visiting fellow researcher at the Science and Technical Research Laboratories of the Japan Broadcasting Corporation (NHK), Tokyo, Japan. He joined the National Institute of Information and Communications Technology, Japan, in 2006, where he is currently a researcher at the Universal Media Research Center.

His research interests include computational image sensor VLSI, multi-camera processing, ray-based 3D display systems, and digital holography systems.

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Yamamoto, K., Oi, R. Color correction for multi-view video using energy minimization of view networks. Int. J. Autom. Comput. 5, 234–245 (2008). https://doi.org/10.1007/s11633-008-0234-5

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  • DOI: https://doi.org/10.1007/s11633-008-0234-5

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