Document Type
Article
Publication Date
8-2013
Publication Source
Optics Express
Abstract
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.
Inclusive pages
18820-18841
ISBN/ISSN
1094-4087
Document Version
Published Version
Copyright
Copyright © 2013, OSA: The Optical Society
Publisher
OSA: The Optical Society
Volume
21
Peer Reviewed
yes
Issue
16
eCommons Citation
Karch, Barry K. and Hardie, Russell C., "Adaptive Wiener Filter Super-Resolution of Color Filter Array Images" (2013). Electrical and Computer Engineering Faculty Publications. 62.
https://ecommons.udayton.edu/ece_fac_pub/62
Included in
Computer Engineering Commons, Electromagnetics and Photonics Commons, Optics Commons, Other Electrical and Computer Engineering Commons, Other Physics Commons
Comments
Optics Express is an open-access journal of OSA: The Optical Society. This article is licensed with the Creative Commons Attribution License (CC-BY) and must be attributed properly. Permission documentation is on file.