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Source Attribution Based on Physical Defects in Light Path

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Digital Image Forensics

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Abstract

Recent studies in multimedia forensics show that digital images contain intrinsic patterns, traces, and marks generated by imaging pipeline components (sensor) and processes (demosaicing and color adjustment). Some of these patterns and marks, such as photo response non-uniformity noise (PRNU), are unique to individual component characteristics of imaging system. Similar to PRNU noise, physical defects in imaging pipeline such as dust particles in DSLR camera chamber, scratches on flatbed scanners also generate unique patterns in image output. Due to unique and random nature of these patterns, they can be utilized in digital image forensics problems. In this chapter, we will give an overview of state-of-the-art camera identification techniques which utilize such defects and patterns.

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Author information

Authors and Affiliations

  1. Faculty of Engineering and Architecture Department of Electronics Engineering, Uludag University, 16059, Nilufer, Bursa, Turkey

    Ahmet Emir Dirik

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  1. Ahmet Emir Dirik
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Correspondence to Ahmet Emir Dirik .

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Editors and Affiliations

  1. , Computer Engineering Department, TOBB University of Economics and Technol, Sogutozu Cad. 43, Ankara, 06560, Turkey

    Husrev Taha Sencar

  2. Dept. Computer & Information Science, Polytechnic University, Brooklyn, 11201, New York, USA

    Nasir Memon

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Dirik, A. (2013). Source Attribution Based on Physical Defects in Light Path. In: Sencar, H., Memon, N. (eds) Digital Image Forensics. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-0757-7_7

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  • DOI: https://doi.org/10.1007/978-1-4614-0757-7_7

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-0756-0

  • Online ISBN: 978-1-4614-0757-7

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