Reliable watermark detection method based on analysis of correlation

Hyun-Soo Kang; Jae Gark Choi; Si-Woong Lee; Sun-Jae Cho

doi:10.1117/1.1327900

1 December 2000 Reliable watermark detection method based on analysis of correlation

Hyun-Soo Kang, Jae Gark Choi, Si-Woong Lee, Sun-Jae Cho

Optical Engineering, Vol. 39, Issue 12, (December 2000). https://doi.org/10.1117/1.1327900

A digital watermark is a perceptually unobtrusive signal embedded in a multimedia asset, such as an image, for copyright protection. In many cases watermark detection amounts to thresholding a correlation value between a watermark and a received image. Watermarking detection schemes can be classified into two types. Type 1 is based on a correlation process that is applied to the difference between an original image and an input image to be tested. Type 2 is based on a correlation process that is directly applied to an input image. Type 1 fails to prove the rightful ownership, while type 2 can do so. However, type 2 has a problem that type 1 does not have: The correlation between a watermark and an original image to be watermarked is too significant to be ignored, when it is normalized by the watermark’s energy. In this paper, based on an analysis of the correlation, we propose a novel watermarking scheme to minimize that effect. We verify the performance of the proposed scheme by experiments.

Citation Download Citation

Hyun-Soo Kang, Jae Gark Choi, Si-Woong Lee, and Sun-Jae Cho "Reliable watermark detection method based on analysis of correlation," Optical Engineering 39(12), (1 December 2000). https://doi.org/10.1117/1.1327900

Published: 1 December 2000

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