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Proceedings Paper

Toward the identification of DSLR lenses by chromatic aberration
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Paper Abstract

While previous work on lens identification by chromatic aberration succeeded in distinguishing lenses of different model, the CA patterns obtained were not stable enough to support distinguishing different copies of the same lens. This paper discusses on how to eliminate two major hurdles in the way of obtaining a stable lens CA pattern. The first hurdle was overcome by using a white noise pattern as shooting target to supplant the conventional but misalignment-prone checkerboard pattern. The second hurdle was removed by the introduction of the lens focal distance, which had not received the attention it deserves. Consequently, we were able to obtain a stable enough CA pattern distinguishing different copies of the same lens. Finally, with a complete view of the lens CA pattern feature space, it is possible to fulfil lens identification among a large lens database.

Paper Details

Date Published: 11 February 2011
PDF: 9 pages
Proc. SPIE 7880, Media Watermarking, Security, and Forensics III, 788010 (11 February 2011); doi: 10.1117/12.872681
Show Author Affiliations
Jun Yu, Binghamton Univ. (United States)
Scott Craver, Binghamton Univ. (United States)
Enping Li, Binghamton Univ. (United States)


Published in SPIE Proceedings Vol. 7880:
Media Watermarking, Security, and Forensics III
Nasir D. Memon; Jana Dittmann; Adnan M. Alattar; Edward J. Delp, Editor(s)

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