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Sensors 2017, 17(12), 2787;

Adaptive Residual Interpolation for Color and Multispectral Image Demosaicking

Department of Systems and Control Engineering, School of Engineering, Tokyo Institute of Technology, Meguro-ku, Tokyo 152-8550, Japan
Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology, Koto-ku, Tokyo 135-0064, Japan
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.
Author to whom correspondence should be addressed.
Received: 31 October 2017 / Revised: 24 November 2017 / Accepted: 29 November 2017 / Published: 1 December 2017
(This article belongs to the Special Issue Snapshot Multi-Band Spectral and Polarization Imaging Systems)
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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. View Full-Text
Keywords: image sensor; Bayer color filter array; multispectral filter array; demosaicking; residual interpolation image sensor; Bayer color filter array; multispectral filter array; demosaicking; residual interpolation

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Monno, Y.; Kiku, D.; Tanaka, M.; Okutomi, M. Adaptive Residual Interpolation for Color and Multispectral Image Demosaicking. Sensors 2017, 17, 2787.

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