SELF RECOVERY AUTHENTICATION OF IMAGES IN THE DWT DOMAIN

Author:

PIVA ALESSANDRO1,BARTOLINI FRANCO2,CALDELLI ROBERTO2

Affiliation:

1. National Inter-university Consortium for Telecommunications (CNIT), University of Florence, Via S. Marta 3, 50139 Firenze, Italy

2. Department of Electronics and Telecommunications, University of Florence, Via S. Marta 3, 50139 Firenze, Italy

Abstract

The interest for multimedia contents authentication has recently increased. In particular watermarking-based authentication schemes seem to be offering some advantages with respect to classical cryptography tools (e.g. real content authentication, localization of manipulations, storage format independence, transparency to common signal processing, etc.). In this paper a simple and secure self recovery authentication algorithm which hides an image digest into some DWT subbands of the to be authenticated image is presented. This technique has been designed for video surveillance and/or remote sensing applications. The main goal of this approach is to detect possible malevolent object manipulations undergone by the image (object replacing and/or deletion) by means of a self recovery processing. This valuable characteristic has to be maintained also when an image is processed through an usual and friendly transformation like JPEG compression. Particular care is given to make the scheme robust against innocuous manipulations, and secure against forgery attempts. Experimental results are presented that demonstrate the good performance of the proposed system.

Publisher

World Scientific Pub Co Pte Lt

Subject

Computer Graphics and Computer-Aided Design,Computer Science Applications,Computer Vision and Pattern Recognition

Reference15 articles.

1. Compressive Data Hiding: An Unconventional Approach for Improved Color Image Coding

2. J. J. Chae and B. S. Manjunath, Security and Watermarking of Multimedia Content, Proc. SPIE Vol. 3657 (San Jose, CA, USA, 1999) pp. 386–396.

3. Robust image authentication using content based compression

4. J. Chou and K. Ramchandran, Proc. ICIP02, IEEE Int. Conf. Image Processing II (Rochester, NY, USA, 2002) pp. 133–136.

5. J. Fridrich and M. Goljan, Proc. ICIP99, IEEE Int. Conf. Image Processing III (Kobe, Japan, 1999) pp. 792–796.

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