SoRS: An effective SVD-DWT watermarking algorithm with SVD on the revised singular value

Xiaoyi Zhou, Lingfei Wang
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引用次数: 2

Abstract

The proposed SoRS algorithm is based on the SoW scheme present in [1]. In SoW algorithm, the watermark is split into four shares, 2-level DWT is applied and SVD is performed on the HL/LH subbands. While in SoRS, all the subbands of 2-level DWT performed on the low subband are selected for embedding watermark. Furthermore, SVD is performed on the singular value revised by the watermark and the carrier image. The experimental results show that SoRS has both the significant improvement in perceptibility and the robustness under various types of image processing attacks. Even though this algorithm is weak against scaling attacks, it extracts watermarks of higher quality than other algorithms under many attacks such as JPEG compression, filtering, histogram equalization, rotation, cropping and noise.
一种有效的基于修正奇异值的SVD- dwt水印算法
本文提出的sor算法基于[1]中的SoW方案。在SoW算法中,水印被分割成4个份额,应用2级DWT,对HL/LH子带进行奇异值分解。而在sor中,选择在低子带上进行2级DWT的所有子带进行水印嵌入。然后,对水印和载体图像修正后的奇异值进行奇异值分解。实验结果表明,在各种类型的图像处理攻击下,sor在感知性和鲁棒性方面都有显著提高。尽管该算法对缩放攻击的抵抗能力较弱,但在JPEG压缩、滤波、直方图均衡化、旋转、裁剪和噪声等多种攻击下,它提取的水印质量比其他算法更高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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