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Source Camera Identification Techniques: A Survey.

Chijioke Emeka Nwokeji1, Akbar Sheikh-Akbari1, Anatoliy Gorbenko1

  • 1School of Built Environment, Engineering, and Computing, Leeds Beckett University, Leeds LS6 3QR, UK.

Journal of Imaging
|February 23, 2024
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Summary
This summary is machine-generated.

This paper surveys methods for identifying the source camera of digital images, crucial for digital forensics. It analyzes techniques using hardware and software artifacts to determine image origin for legal evidence.

Keywords:
camera brand source identificationcamera colour filter arraycamera model source identificationimage lens optical distortionsensor pattern noisesource camera identification

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Area of Science:

  • Digital Forensics
  • Image Analysis
  • Computer Vision

Background:

  • Digital images are critical evidence in legal investigations.
  • Proving the source camera of digital images is essential for case integrity.
  • Existing methods for source camera identification have limitations.

Purpose of the Study:

  • To survey and critically examine existing source camera identification techniques.
  • To analyze the strengths and weaknesses of various identification methods.
  • To provide a comprehensive comparison of current approaches.

Main Methods:

  • Review of literature on source camera identification methods.
  • Analysis of techniques utilizing intrinsic hardware artifacts (e.g., sensor pattern noise, lens distortion).
  • Examination of methods based on software artifacts (e.g., color filter array, auto white balancing).

Main Results:

  • Identification of various techniques for source camera attribution.
  • Evaluation of method efficacy based on intrinsic hardware and software artifacts.
  • Discussion of benchmark datasets and assessment criteria for performance measurement.

Conclusions:

  • Source camera identification is vital for digital evidence.
  • A comprehensive understanding of existing techniques' strengths and weaknesses is presented.
  • Future research directions in source camera identification are outlined.