Modeling demosaicing of color corrected cameras in the NV-IPM

David P. Haefner; Brian P. Teaney; Bradley L. Preece

doi:10.1117/12.2235781

3 May 2016 Modeling demosaicing of color corrected cameras in the NV-IPM

David P. Haefner, Brian P. Teaney, Bradley L. Preece

Proceedings Volume 9820, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXVII; 982009 (2016) https://doi.org/10.1117/12.2235781
Event: SPIE Defense + Security, 2016, Baltimore, MD, United States

Abstract

A critical step in creating an image using a Bayer pattern sampled color camera is demosaicing, the process of combining the individual color channels using a post-processing algorithm to produce the final displayed image. The demosaicing process can introduce degradations which reduce the quality of the final image. These degradations must be accounted for in order to accurately predict the performance of color imaging systems. In this paper, we present analytical derivations of transfer functions to allow description of the effects of demosaicing on the overall system blur and noise. The effects of color balancing and the creation of the luminance channel image are also explored. The methods presented are validated through Monte Carlo simulations, which can also be utilized to determine the transfer functions of non-linear demosaicing methods. Together with this new treatment of demosaicing, the framework behind the color detector component in NV-IPM is discussed.

Citation Download Citation

David P. Haefner, Brian P. Teaney, and Bradley L. Preece "Modeling demosaicing of color corrected cameras in the NV-IPM", Proc. SPIE 9820, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXVII, 982009 (3 May 2016); https://doi.org/10.1117/12.2235781

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