Lightweight protection of visual data using high-dimensional wavelet parametrization

Authors:
Andreas Pommer;Andreas Uhl
Affiliations:
Department of Scientific Computing, Salzburg University, Salzburg, Austria;Department of Scientific Computing, Salzburg University, Salzburg, Austria
Venue:
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
Year:
2005

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Abstract

A lightweight encryption scheme for visual data based on wavelet filter parametrization is discussed. Being a special variant of header encryption, the technique has an extremely low computational demand. Security assessement of low-dimensional parametrizations schemes show severe weaknesses. We show that using high-dimensional parametrizations the scheme may be employed in applications requiring a medium security level.