Share Email Print

Proceedings Paper

A set-theoretic approach for compensated signature embedding using projections onto convex sets
Author(s): Sufyan Ababneh; Rashid Ansari; Ashfaq Khokhar
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

In this paper, we use a set-theoretic approach to provide an efficient and deterministic iterative solution for the compensated signature embedding (CSE) scheme introduced in an earlier work.4 In CSE, a fragile signature is derived and embedded into the media using a robust watermarking technique. Since the embedding process leads to altering the media, the media samples are iteratively adjusted to compensate for the embedding distortion. Projections Onto Convex Sets (POCS) is an iterative set-theoretic approach known to be deterministic, effective and has been used in many image processing applications. We propose to use POCS for providing a compensation mechanism to address the CSE problem. We identify two convex constraint sets defined according to image fidelity and signature-generation criteria, and use them in a POCS-based CSE image authentication system. The system utilizes the wavelet transform domain for embedding and compensation. Simulation results are presented to show that the proposed scheme is efficient and accurate in terms of both achieving high convergence speed and maintaining image fidelity.

Paper Details

Date Published: 28 January 2008
PDF: 10 pages
Proc. SPIE 6822, Visual Communications and Image Processing 2008, 682224 (28 January 2008); doi: 10.1117/12.765902
Show Author Affiliations
Sufyan Ababneh, Univ. of Illinois at Chicago (United States)
Rashid Ansari, Univ. of Illinois at Chicago (United States)
Ashfaq Khokhar, Univ. of Illinois at Chicago (United States)

Published in SPIE Proceedings Vol. 6822:
Visual Communications and Image Processing 2008
William A. Pearlman; John W. Woods; Ligang Lu, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?