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Open Access Patch-Based Desynchronization of Digital Camera Sensor Fingerprints

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This paper explores image self-similarity as a means to impede forensic camera identification based on sensor noise. We follow the tradition of patch replacement attacks against robust digital watermarks, putting particular emphasis on the use of PatchMatch, an efficient algorithm for finding approximate nearest neighbor patches. Experimental results suggest that sensor noise fingerprints can be desynchronized reasonably well without the need of geometric image transformations and without explicit knowledge of the fingerprint, while maintaining a tolerable visual quality.
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Document Type: Research Article

Publication date: 2016-02-14

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  • For more than 30 years, the Electronic Imaging Symposium has been serving those in the broad community - from academia and industry - who work on imaging science and digital technologies. The breadth of the Symposium covers the entire imaging science ecosystem, from capture (sensors, camera) through image processing (image quality, color and appearance) to how we and our surrogate machines see and interpret images. Applications covered include augmented reality, autonomous vehicles, machine vision, data analysis, digital and mobile photography, security, virtual reality, and human vision. IS&T began sole sponsorship of the meeting in 2016. All papers presented at EIs 20+ conferences are open access.

    Please note: For purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual paper for details.

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