RST Invarian Watermarking Scheme Based on SIFT Feature and Pseudo-Zernike Moment

Author

Sun Jin-guang ; He Wei

Author_Institution

Dept. of Electron. & Inf. Eng., Liaoning Techinical Universit, HuLuDao, China

Volume

2

fYear

2009

fDate

12-14 Dec. 2009

Firstpage

10

Lastpage

13

Abstract

RST invarian watermarking scheme is proposed in this paper based on the SIFT feature points and improved pseudo-Zernike moment. Firstly, feature points are detected using SIFT, and some suitable points are selected to form localized feature regions which are scaled to a standard sized. After computing these regions by the improved pseudo-Zernike moments of these regions , the digital watermark are embedded into the host image by quantizing some low-lever moments. Experimental results show this scheme is robust against the rotation, shearing, JPEG compression, noise and filtering attack.

Keywords

feature extraction; image coding; method of moments; transforms; watermarking; RST invarian watermarking scheme; SIFT feature points; digital watermark; pseudo-Zernike moment; scale-invariant feature transform; Computational intelligence; Data encapsulation; Design engineering; Embedded computing; Feature extraction; Helium; Image reconstruction; Robustness; Sun; Watermarking; SIFT; digital watermark; geometric attack; normalized moment; pseudo-Zernike moment;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on

Conference_Location

Changsha

Print_ISBN

978-0-7695-3865-5

Type

conf

DOI

10.1109/ISCID.2009.151

Filename

5368519