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Optics Express

Optics Express

  • Editor: Andrew M. Weiner
  • Vol. 21, Iss. 16 — Aug. 12, 2013
  • pp: 18820–18841

Adaptive Wiener filter super-resolution of color filter array images

Barry K. Karch and Russell C. Hardie  »View Author Affiliations

Optics Express, Vol. 21, Issue 16, pp. 18820-18841 (2013)

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Digital color cameras using a single detector array with a Bayer color filter array (CFA) require interpolation or demosaicing to estimate missing color information and provide full-color images. However, demosaicing does not specifically address fundamental undersampling and aliasing inherent in typical camera designs. Fast non-uniform interpolation based super-resolution (SR) is an attractive approach to reduce or eliminate aliasing and its relatively low computational load is amenable to real-time applications. The adaptive Wiener filter (AWF) SR algorithm was initially developed for grayscale imaging and has not previously been applied to color SR demosaicing. Here, we develop a novel fast SR method for CFA cameras that is based on the AWF SR algorithm and uses global channel-to-channel statistical models. We apply this new method as a stand-alone algorithm and also as an initialization image for a variational SR algorithm. This paper presents the theoretical development of the color AWF SR approach and applies it in performance comparisons to other SR techniques for both simulated and real data.

© 2013 OSA

OCIS Codes
(100.0100) Image processing : Image processing
(100.3020) Image processing : Image reconstruction-restoration
(100.6640) Image processing : Superresolution

ToC Category:
Image Processing

Original Manuscript: April 8, 2013
Revised Manuscript: June 12, 2013
Manuscript Accepted: June 20, 2013
Published: August 1, 2013

Virtual Issues
Vol. 8, Iss. 9 Virtual Journal for Biomedical Optics

Barry K. Karch and Russell C. Hardie, "Adaptive Wiener filter super-resolution of color filter array images," Opt. Express 21, 18820-18841 (2013)

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