DocumentCode :
2429423
Title :
Object-based watermarking scheme against geometrical attacks
Author :
Xu, Da-wen ; Wang, Rang-ding ; Wang, Ji-cheng
Author_Institution :
Dept. of Comput. Sci. & Technol., Tongji Univ. Shanghai, Shanghai
fYear :
2008
fDate :
7-11 June 2008
Firstpage :
255
Lastpage :
258
Abstract :
An effective watermarking algorithm using Zernike moments and image normalization is proposed to resist object manipulations. Rotation invariance is achieved by taking the magnitude of the Zernike moments. Image normalization method is used for scale and translation invariance. Watermark signal can be inserted into the Zernike moments of cover image, but the reconstruction procedure is computationally expensive and there is severe fidelity loss. Zero-watermarking technique can solve these problems successfully. Experimental results show that the scheme is robust to compression, filtering, Gaussian noise as well as geometrical attacks including rotation, scaling.
Keywords :
Gaussian noise; Zernike polynomials; image reconstruction; watermarking; Gaussian noise; Zernike moments; compression; filtering; geometrical attacks; image normalization; image normalization method; object-based watermarking scheme; rotation invariance; translation invariance; zero-watermarking technique; Computer science; Image reconstruction; Neural networks; Noise robustness; Polynomials; Resists; Signal processing; Signal processing algorithms; Software algorithms; Watermarking; Image normalization; Video object; Zernike moment; Zero-watermarking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks and Signal Processing, 2008 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-2310-1
Electronic_ISBN :
978-1-4244-2311-8
Type :
conf
DOI :
10.1109/ICNNSP.2008.4590351
Filename :
4590351
Link To Document :
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