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Project Description

This is "The Multimedia Signal Processing and Security Lab", short WaveLab, website. We are a research group at the Computer Sciences Department of the University of Salzburg headed by Andreas Uhl. The short name "WaveLab" already indicates that wavelets are among our favorite tools - we have 15 years of experience in this area. Our research is focused on Multimedia Security including Watermarking, Image and Video Compression, Medical Image Classification, and Biometrics.
   

Metrics for Assessing Visual Security of Image and Video Encryption Schemes (ViSecMetrics)

 

Project Description:

ViSecMetrics (FWF project P27776) is a project on developing metrics to automatically assess the amount of information present in image or video ciphertext (after eventual attacks have been mounted). Such metrics play an important role in the definition of security of image and video encryption schemes (IVES): The security of IVES relies on the inability of an attacker to reconstruct an approximation of the original content with higher quality than targeted by the scheme. Compared to conventional visual quality metrics (PSNR / SSIM / VIF) these security metrics have to assess visual similarity for extremely low quality content, for which the conventional metrics are no longer applicable. Besides the development of such metrics (which is one of the main goals of this project), different subjective test methodologies will have to be considered, developed and implemented, which are applied to IVES-specific subjective databases. These databases, also established in the framework of the project, will serve as objective basis of evaluation for the suitability of a metric.

 
 

Members:

 
 

Timeframe:

  • June 2015 - May 2018
 
 

Publications:

  1. [Draschl17a ] Sensor Dependency in Efficient Fingerprint Image Protection using Selective JPEG2000 Encryption Martin Draschl, Jutta Hämmerle-Uhl, Andreas Uhl In Proceedings of the 5th International Workshop on Biometrics and Forensics (IWBF'17), pp. 1-6, Coventry, United Kindom, April 4 - 5
  2. [Drozdowski17a  ] Towards Pre-alignment of Near-infrared Iris Images P. Drozdowski, C. Rathgeb, H. Hofbauer, J. Wagner, A. Uhl, C. Busch In Proceedings of the IAPR/IEEE International Joint Conference on Biometrics (IJCB'17), pp. 8, 2017
  3. [Hofbauer16c    ] Identifying Deficits of Visual Security Metrics for Images Heinz Hofbauer, Andreas Uhl Signal Processing: Image Communication 46, pp. 60-75, 2016
  4. [Draschl16b ] Assessment of Efficient Fingerprint Image Protection Principles using different Types of AFIS Martin Draschl, Jutta Hämmerle-Uhl, Andreas Uhl In Proceedings of the 18th International Conference on Information and Communications Security (ICICS'16), pp. 241-253, Singapore, Springer LNCS, 9977, November 29th - December 2nd
  5. [Draschl16a ] Efficient Fingerprint Image Protection Principles using Selective JPEG2000 Encryption Martin Draschl, Jutta Hämmerle-Uhl, Andreas Uhl In Proceedings of the 1st Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE 2016), pp. 1-6, Aalborg, Denmark, July 6 - July 8
  6. [Kauba16b  ] Image Segmentation Based Visual Security Evaluation Christof Kauba, Stefan Mayer, Andreas Uhl In Proceedings of the 4th ACM Workshop on Information Hiding and Multimedia Security (IH&MMSec 2016), pp. 1-6, Vigo, Spain, June 20 - June 23