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Algorithms 2017, 10(2), 41; doi:10.3390/a10020041

RST Resilient Watermarking Scheme Based on DWT-SVD and Scale-Invariant Feature Transform

School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai 264209, China
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Received: 17 January 2017 / Revised: 2 March 2017 / Accepted: 22 March 2017 / Published: 30 March 2017

Abstract

Currently, most digital image watermarking schemes are affected by geometric attacks like rotation, scaling, and translation (RST). In the watermark embedding process, a robust watermarking scheme is proposed against RST attacks. In this paper, three-level discrete wavelet transform (DWT) is applied to the original image. The three-level low frequency sub-band is decomposed by the singular value decomposition (SVD), and its singular values matrix is extracted for watermarking embedding. Before the watermarking extraction, the keypoints are selected by scale-invariant feature transform (SIFT) in the original image and attacked image. By matching the keypoints in two images, the RST attacks can be precisely corrected and the better performance can be obtained. The experimental results show that the proposed scheme achieves good performance of imperceptibility and robustness against common image processing and malicious attacks, especially geometric attacks. View Full-Text
Keywords: image watermarking; scale-invariant feature transform (SIFT); discrete wavelet transform (DWT); singular value decomposition (SVD); geometric attacks image watermarking; scale-invariant feature transform (SIFT); discrete wavelet transform (DWT); singular value decomposition (SVD); geometric attacks
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Zhang, Y.; Wang, C.; Zhou, X. RST Resilient Watermarking Scheme Based on DWT-SVD and Scale-Invariant Feature Transform. Algorithms 2017, 10, 41.

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