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http://dx.doi.org/10.5909/JEB.2011.16.3.561

Multi-spectral Imaging-based Color Image Reconstruction Using the Conventional Bayer CFA  

Shin, Jeong-Ho (Dept. of Web Information Engineering, Hankyong National University)
Publication Information
Journal of Broadcast Engineering / v.16, no.3, 2011 , pp. 561-565 More about this Journal
Abstract
This paper presents an imaging system for reconstruction of enhanced color images using the conventional Bayer CFA. By extracting various colors such as RGBCY from two sequential images which consist of a image by broadband G channel lens filter and the other image captured without one, the proposed color image reconstruction system can reduce the computational complexity for demosaicking and make high resolution color information without aliasing artifacts. Because the proposed system uses the common Bayer CFA image sensor, fabricating a new type of CFA is not necessary for obtaining a multi-spectral image, which can be easily extensible for applications of multi-spectral imaging. Finally, in order to verify the performance of the proposed system, experimental results are performed. By comparing with the existing demosaicking methods, the proposed camera system showed the significant improvements in the sense of color resolution.
Keywords
demosaicking; Bayer CFA; multispectral imaging;
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