Gaussian scale-space features for semi-fragile image authentication

Authors:
Mathias Schlauweg;Erika Müller
Affiliations:
Institute of Communications Engineering, Faculty of Computer Science and Electrical Engineering, University of Rostock, Rostock, Germany;Institute of Communications Engineering, Faculty of Computer Science and Electrical Engineering, University of Rostock, Rostock, Germany
Venue:
PCS'09 Proceedings of the 27th conference on Picture Coding Symposium
Year:
2009

Citing 4
Cited 0

Feature Detection with Automatic Scale Selection

International Journal of Computer Vision
Quantization Watermarking in the JPEG2000 Coding Pipeline

Proceedings of the IFIP TC6/TC11 International Conference on Communications and Multimedia Security Issues of the New Century
JPEG2000-based secure image authentication

MM&Sec '06 Proceedings of the 8th workshop on Multimedia and security
A survey of watermarking algorithms for image authentication

EURASIP Journal on Applied Signal Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we propose a new robust image hashing approach to be used for semi-fragile image authentication. We use a texture-based feature, the so-called gray-level blob in Gaussian scale-space, which is invariant to scaling, rotation, and translation. It is associated with the image content and thus independent of image geometry. Furthermore, we show that our new approach is robust against a variety of signal processing operations, such as lossy compression, contrast and luminance enhancement, blurring, sharpening as well as noise adding.