Adaptive Residual Interpolation for Color and Multispectral Image Demosaicking
Color image demosaicking for the Bayer color filter array is an essential image processing operation for acquiring high-quality color images. Recently, residual interpolation (RI)-based algorithms have demonstrated superior demosaicking performance over conventional color difference interpolation-ba...
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| Published in | Sensors (Basel, Switzerland) Vol. 17; no. 12; p. 2787 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
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01.12.2017
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| Abstract | Color image demosaicking for the Bayer color filter array is an essential image processing operation for acquiring high-quality color images. Recently, residual interpolation (RI)-based algorithms have demonstrated superior demosaicking performance over conventional color difference interpolation-based algorithms. In this paper, we propose adaptive residual interpolation (ARI) that improves existing RI-based algorithms by adaptively combining two RI-based algorithms and selecting a suitable iteration number at each pixel. These are performed based on a unified criterion that evaluates the validity of an RI-based algorithm. Experimental comparisons using standard color image datasets demonstrate that ARI can improve existing RI-based algorithms by more than 0.6 dB in the color peak signal-to-noise ratio and can outperform state-of-the-art algorithms based on training images. We further extend ARI for a multispectral filter array, in which more than three spectral bands are arrayed, and demonstrate that ARI can achieve state-of-the-art performance also for the task of multispectral image demosaicking. |
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| AbstractList | Color image demosaicking for the Bayer color filter array is an essential image processing operation for acquiring high-quality color images. Recently, residual interpolation (RI)-based algorithms have demonstrated superior demosaicking performance over conventional color difference interpolation-based algorithms. In this paper, we propose adaptive residual interpolation (ARI) that improves existing RI-based algorithms by adaptively combining two RI-based algorithms and selecting a suitable iteration number at each pixel. These are performed based on a unified criterion that evaluates the validity of an RI-based algorithm. Experimental comparisons using standard color image datasets demonstrate that ARI can improve existing RI-based algorithms by more than 0.6 dB in the color peak signal-to-noise ratio and can outperform state-of-the-art algorithms based on training images. We further extend ARI for a multispectral filter array, in which more than three spectral bands are arrayed, and demonstrate that ARI can achieve state-of-the-art performance also for the task of multispectral image demosaicking. |
| Author | Monno, Yusuke Okutomi, Masatoshi Tanaka, Masayuki Kiku, Daisuke |
| AuthorAffiliation | 2 Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology, Koto-ku, Tokyo 135-0064, Japan 1 Department of Systems and Control Engineering, School of Engineering, Tokyo Institute of Technology, Meguro-ku, Tokyo 152-8550, Japan; dkiku@ok.ctrl.titech.ac.jp (D.K.); mtanaka@sc.e.titech.ac.jp (M.T.); mxo@sc.e.titech.ac.jp (M.O.) |
| AuthorAffiliation_xml | – name: 2 Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology, Koto-ku, Tokyo 135-0064, Japan – name: 1 Department of Systems and Control Engineering, School of Engineering, Tokyo Institute of Technology, Meguro-ku, Tokyo 152-8550, Japan; dkiku@ok.ctrl.titech.ac.jp (D.K.); mtanaka@sc.e.titech.ac.jp (M.T.); mxo@sc.e.titech.ac.jp (M.O.) |
| Author_xml | – sequence: 1 givenname: Yusuke orcidid: 0000-0001-6733-3406 surname: Monno fullname: Monno, Yusuke email: ymonno@ok.sc.e.titech.ac.jp organization: Department of Systems and Control Engineering, School of Engineering, Tokyo Institute of Technology, Meguro-ku, Tokyo 152-8550, Japan. ymonno@ok.sc.e.titech.ac.jp – sequence: 2 givenname: Daisuke surname: Kiku fullname: Kiku, Daisuke email: dkiku@ok.ctrl.titech.ac.jp organization: Department of Systems and Control Engineering, School of Engineering, Tokyo Institute of Technology, Meguro-ku, Tokyo 152-8550, Japan. dkiku@ok.ctrl.titech.ac.jp – sequence: 3 givenname: Masayuki surname: Tanaka fullname: Tanaka, Masayuki email: mtanaka@sc.e.titech.ac.jp, mtanaka@sc.e.titech.ac.jp organization: Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology, Koto-ku, Tokyo 135-0064, Japan. mtanaka@sc.e.titech.ac.jp – sequence: 4 givenname: Masatoshi surname: Okutomi fullname: Okutomi, Masatoshi email: mxo@sc.e.titech.ac.jp organization: Department of Systems and Control Engineering, School of Engineering, Tokyo Institute of Technology, Meguro-ku, Tokyo 152-8550, Japan. mxo@sc.e.titech.ac.jp |
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| Keywords | image sensor demosaicking multispectral filter array residual interpolation Bayer color filter array |
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| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 This paper is an extended version of our paper published in Monno, Y.; Kiku, D.; Tanaka, M.; Okutomi, M. Adaptive residual interpolation for color image demosaicking. In Proceedings of the 2015 IEEE International Conference on Image Processing (ICIP), Quebec City, QC, Canada, 27–30 September 2015; pp. 3861–3865 Current affiliation is Olympus Corporation, Hachioji, Tokyo 192-8512, Japan. This work was performed in part when the author was a graduate student at Tokyo Institute of Technology. |
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| SubjectTerms | Adaptive algorithms Algorithms Bayer color filter array Color imagery demosaicking Image acquisition Image processing Image quality image sensor Interpolation multispectral filter array Noise levels residual interpolation Spectral bands State of the art |
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| Title | Adaptive Residual Interpolation for Color and Multispectral Image Demosaicking |
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