Peformance analysis of pseudo-random sequence in digital watermarking

Tae-Hyun Kim; Jung-Jin Kim; Eun-Soo Kim

doi:10.1117/12.449589

5 December 2001 Peformance analysis of pseudo-random sequence in digital watermarking

Tae-Hyun Kim, Jung-Jin Kim, Eun-Soo Kim

Proceedings Volume 4475, Mathematics of Data/Image Coding, Compression, and Encryption IV, with Applications; (2001) https://doi.org/10.1117/12.449589
Event: International Symposium on Optical Science and Technology, 2001, San Diego, CA, United States

Abstract

In this paper, comparative analysis on the characteristics of the Pseudo Random Sequence(PRS) and the Normal Random Sequence(NRS) which are used as a watermark for copyright protection and authentication about digital media in the conventional digital watermarking systems. From the analysis, it is found that in case of the NRS, the detection of the watermark might be difficult by many crosscorrelation peak values from other NRS codes because of the non-uniform distribution of 1 and 0 in those codes. However, in case of the PRS, since it has the uniform distribution of the random number in the generated codes, there exists very few crosscorrelation peaks. So the PRS is analyzed to be more robust against possible attacks such as JPEG image compression and Gaussian noise compared with the case of the NRS. Finally, in this paper, simulation results on the robustness of the PRS and NRS against some attacks such as JPEG compression, Gaussian noise are also suggested.

Citation Download Citation

Tae-Hyun Kim, Jung-Jin Kim, and Eun-Soo Kim "Peformance analysis of pseudo-random sequence in digital watermarking", Proc. SPIE 4475, Mathematics of Data/Image Coding, Compression, and Encryption IV, with Applications, (5 December 2001); https://doi.org/10.1117/12.449589

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