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

Algorithms

Chengyou Wang¹  Xiao Zhou¹  Yunpeng Zhang¹ 

[1] School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai 264209,;

关键词: image watermarking;    scale-invariant feature transform (SIFT);    discrete wavelet transform (DWT);    singular value decomposition (SVD);    geometric attacks;   

DOI  :  10.3390/a10020041

来源: DOAJ

【 摘 要 】

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 to common image processing and malicious attacks, especially geometric attacks.

【 授权许可】

Unknown