New detector for spread-spectrum based image watermarking using underdetermined ICA

Hafiz Malik; Ashfaq Khokhar; Rashid Ansari

doi:10.1117/12.643559

17 February 2006 New detector for spread-spectrum based image watermarking using underdetermined ICA

Hafiz Malik, Ashfaq Khokhar, Rashid Ansari

Proceedings Volume 6072, Security, Steganography, and Watermarking of Multimedia Contents VIII; 60721Y (2006) https://doi.org/10.1117/12.643559
Event: Electronic Imaging 2006, 2006, San Jose, California, United States

Abstract

This paper presents a novel scheme for detection of watermarks embedded in multimedia signals using spread spectrum (SS) techniques. The detection method is centered on using the model that the embedded watermark and the host signal are mutually independent. The proposed detector assumes that the host signal and the watermark obey non-Gaussian distributions. The proposed blind watermark detector employs underdetermined blind source separation (BSS) based on independent component analysis (ICA) for watermark estimation from the watermarked image. The mean-field theory based undetermined BSS scheme is used for watermark estimation. Analytical results are presented showing that the proposed detector performs significantly better than the existing correlation based blind detectors traditionally used for SS-based image watermarking.

Citation Download Citation

Hafiz Malik, Ashfaq Khokhar, and Rashid Ansari "New detector for spread-spectrum based image watermarking using underdetermined ICA", Proc. SPIE 6072, Security, Steganography, and Watermarking of Multimedia Contents VIII, 60721Y (17 February 2006); https://doi.org/10.1117/12.643559

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available