A Novel Watermarking Algorithm Based on SURF and SVD

Article Preview

Abstract:

A novel watermarking algorithm based on SURF (Speeded Up Robust Features) and Singular Value Decomposition (SVD) is presented for copyright protection. By introducing the SURF’s key points matching and geometric distortion estimation, the attacked watermarked image can be corrected and the watermark synchronization is realized. In this way, the feature regions of the host image, which are used for information hiding, can be correctly detected by the improved Harris-Laplace corner detector even after signal processing and geometric attacks. The application of the proposed scheme makes the watermark capable of transparent hiding. Extensive experimental results demonstrate that our technique performs better than traditional methods under different attacks.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

2117-2121

Citation:

Online since:

February 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Chin-Shiuh Shieh, Hsiang-Cheh Huang, and Feng-Hsing Wang: Genetic watermarking based on transform-domain techniques, Pattern Recognition, 37 (2004), 555-565.

DOI: 10.1109/ccst.2003.1297536

Google Scholar

[2] Jieh Ming Shieh, and Der Chyuan Lou: A semi-blind digital watermarking scheme based on singular value decomposition, Computer Standards & Interfaces, 28 (2006), 428-440.

DOI: 10.1016/j.csi.2005.03.006

Google Scholar

[3] P. Bas, J. M. Chassery, and B. Macq: Geometrically invariant watermarking using feature points, IEEE Trans. Image Process. 2002, 11(9), 1014–1028.

DOI: 10.1109/tip.2002.801587

Google Scholar

[4] Herbert Bay, Andreas Ess, Tinne Tuytelaars, Luc Van Gool: SURF: Speeded Up Robust Features, Computer Vision and Image Understanding (CVIU), Vol. 110, No. 3, 346-359, (2008).

DOI: 10.1016/j.cviu.2007.09.014

Google Scholar

[5] Chengxi Wang, Ning Du, Miao Qi: A Novel Watermarking Algorithm Based on Feature Points and SVD, International Conference on Computational Intelligence and Software Engineering, 2009. 1-4.

DOI: 10.1109/cise.2009.5362523

Google Scholar

[6] Tao Maoyuan, Lu Zhengding, Yuan Wugang, and Ling Hefei: Geometrically Invariant Feature Points Detection Based on Scale Space Theory, Acta Electronica Sinika, 2006, 34(12), 2564-2568.

Google Scholar

[7] Chin-Chen Chang, Piyu Tsai, and Chia-Chen Lin: SVD_based Digital Image Watermarking Scheme, Pattern Recognition Letters, 26 (2005), 1577-1586.

DOI: 10.1016/j.patrec.2005.01.004

Google Scholar

[8] Jieh Ming Shieh, Der Chyuan Lou, Ming Chang Chang: A semi-blind digital watermarking scheme based on singular value decomposition, Computer Standards & Interfaces, 28(2006), 428-440.

DOI: 10.1016/j.csi.2005.03.006

Google Scholar