Paper
27 January 2010 Efficient estimation of CFA pattern configuration in digital camera images
Author Affiliations +
Proceedings Volume 7541, Media Forensics and Security II; 754111 (2010) https://doi.org/10.1117/12.839102
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States
Abstract
This paper proposes an efficient method to determine the concrete configuration of the color filter array (CFA) from demosaiced images. This is useful to decrease the degrees of freedom when checking for the existence or consistency of CFA artifacts in typical digital camera images. We see applications in a wide range of multimedia security scenarios whenever inter-pixel correlation plays an important role. Our method is based on a CFA synthesis procedure that finds the most likely raw sensor output for a given full-color image. We present approximate solutions that require only one linear filtering operation per image. The effectiveness of our method is demonstrated by experimental results from a large database of images.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Matthias Kirchner "Efficient estimation of CFA pattern configuration in digital camera images", Proc. SPIE 7541, Media Forensics and Security II, 754111 (27 January 2010); https://doi.org/10.1117/12.839102
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Cited by 40 scholarly publications.
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KEYWORDS
Sensors

Cameras

Optical filters

Digital cameras

Forensic science

Linear filtering

RGB color model

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