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Image Processing Lab (IPL)

Video camera identification through compressed fingerprints

Reference persons TIZIANO BIANCHI, ENRICO MAGLI

Research Groups Image Processing Lab (IPL)

Thesis type RESEARCH

Description In every imaging sensor, slight variations in the properties of individual pixels produce a noise-like, yet deterministic pattern affecting every image or video taken by that sensor. This feature, called photo-response non-uniformity (PRNU), can be used as a unique fingerprint for identifying the specific acquisition device. PRNU has been extensively studied for images, however very little results are available for videos. Moreover, the size of this feature, being equal to the number of pixels of the sensor, makes the management of a large database of fingerprints very difficult.

This research group has developed an innovative technique for compressing PRNU fingerprints based on random projections, which sensibly reduces storage requirements and matching complexity, with only a negligible degradation in terms of matching accuracy.

The objective of this thesis is to apply compressed PRNU fingerprints for identifying the acquisition device of a given video, and to assess its performance with respect to existing techniques.

Required skills Signal processing skills, Matlab programming


Deadline 28/10/2017      PROPONI LA TUA CANDIDATURA




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