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Automatic source camera identification using the intrinsic lens radial distortion.

Kai San Choi, Edmund Y Lam, Kenneth K Y Wong

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    |June 17, 2009
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    This study shows that unique lens distortions in digital cameras can accurately identify the source camera. This method is a viable tool for image forensics and law enforcement applications.

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    Area of Science:

    • Digital image forensics
    • Computer vision
    • Optics

    Background:

    • Source camera identification is crucial for law enforcement.
    • Existing methods like watermarking are not widely adopted.
    • Digital cameras often have lens aberrations that can serve as unique identifiers.

    Purpose of the Study:

    • To develop an accurate method for source camera identification.
    • To leverage intrinsic lens radial distortion as a unique camera fingerprint.
    • To evaluate the effectiveness of this approach in image forensics.

    Main Methods:

    • Extracting parameters from lens aberration measurements.
    • Utilizing a support vector machine classifier for identification.
    • Conducting experiments with multiple digital cameras.

    Main Results:

    • Achieved a high rate of accuracy in source camera identification.
    • Demonstrated the viability of using lens radial distortion for this task.
    • Analyzed the impact of optical zoom levels on error rates.

    Conclusions:

    • Intrinsic lens radial distortion is a reliable indicator for source camera identification.
    • This technique offers a promising, watermark-free solution for image forensics.
    • The method shows potential for real-world law enforcement applications.