一种基于奇异值分解的Contourlet域盲水印方案

Shao-min Zhu, Jian-ming Liu
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引用次数: 14

摘要

提出了一种基于奇异值分解的轮廓let域数字图像盲水印方案。与传统方法直接将水印位嵌入到轮廓波变换系数上不同,该方法将水印位嵌入到原始灰度图像轮廓波变换低通子带内所选块的奇异值上。实验结果表明,水印图像对JPEG压缩、低通滤波、噪声添加、缩放和裁剪等攻击具有较强的鲁棒性。水印提取是一种高效、盲的方法,只需要量化策略,不需要原始图像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Novel Blind Watermarking Scheme in Contourlet Domain Based on Singular Value Decomposition
In this paper, a novel blind digital image watermarking scheme in contour let domain with singular value decomposition is proposed. In contrast to traditional methods where the watermark bits are embedded directly on the contourlet transform coefficients, the proposed scheme is based on watermark bits embedding on the singular value of the selected blocks within lowpass subband of the original gray image contourlet transform. Experimental results demonstrate that the quality of watermarked image is robust against attacks such as JPEG compression, low pass filtering, noise addition, scaling and cropping. Watermark extraction is efficient and blind in the sense only quantization strategies but not the original image is required.
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