7 August 2017 Color filter array pattern identification using variance of color difference image
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Abstract
A color filter array is placed on the image sensor of a digital camera to acquire color images. Each pixel uses only one color, since the image sensor can measure only one color per pixel. Therefore, empty pixels are filled using an interpolation process called demosaicing. The original and the interpolated pixels have different statistical characteristics. If the image is modified by manipulation or forgery, the color filter array pattern is altered. This pattern change can be a clue for image forgery detection. However, most forgery detection algorithms have the disadvantage of assuming the color filter array pattern. We present an identification method of the color filter array pattern. Initially, the local mean is eliminated to remove the background effect. Subsequently, the color difference block is constructed to emphasize the difference between the original pixel and the interpolated pixel. The variance measure of the color difference image is proposed as a means of estimating the color filter array configuration. The experimental results show that the proposed method is effective in identifying the color filter array pattern. Compared with conventional methods, our method provides superior performance.
Hyun Jun Shin, Hyun Jun Shin, Jong Ju Jeon, Jong Ju Jeon, Il Kyu Eom, Il Kyu Eom, } "Color filter array pattern identification using variance of color difference image," Journal of Electronic Imaging 26(4), 043015 (7 August 2017). https://doi.org/10.1117/1.JEI.26.4.043015 . Submission: Received: 10 April 2017; Accepted: 18 July 2017
Received: 10 April 2017; Accepted: 18 July 2017; Published: 7 August 2017
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