A Robust Watermarking Scheme Based Walsh-Hadamard Transform and SVD Using ZIG ZAG Scanning

K. Meenakshi, C. Rao, K. Prasad
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引用次数: 17

Abstract

This paper presents a robust watermarking for still digital images based on Fast Walsh-Hadamard Transform (FWHT) and Singular Value Decomposition (SVD) using Zigzag scanning. In this paper, after applying Fast Walsh-Hadamard transform to the whole cover image, the Walsh-Hadamard coefficients are arranged in zigzag order and mapped into four quadrants-Q1, Q2, Q3, Q4. These four quadrants represent different frequency bands from the lowest to highest. The quadrant Q1 again divided into no overlapping blocks and in it the highest entropy block is selected and Singular Value Decomposition is applied and the singular values of that blocks is modified with the singular values of the Fast-Walsh-Hadamard transforms coefficients of watermark. A comparative analysis is carried with recents works on Hadamard Transform and results of the proposed method are found to be superior in terms of imperceptibility and robustness at the expense of increased computational complexity.
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基于Walsh-Hadamard变换和奇异值分解的zigzag扫描鲁棒水印方案
提出了一种基于快速沃尔什-阿达玛变换(FWHT)和奇异值分解(SVD)的锯齿形扫描静态数字图像鲁棒水印方法。本文对整个封面图像进行Fast Walsh-Hadamard变换后,将Walsh-Hadamard系数按之字形顺序排列,映射到q1、Q2、Q3、Q4四个象域。这四个象限表示从最低到最高的不同频段。象限Q1再次划分为不重叠的块,选取熵值最高的块,应用奇异值分解,用水印的Fast-Walsh-Hadamard变换系数的奇异值修改该块的奇异值。通过与Hadamard变换的比较分析,发现该方法在隐蔽性和鲁棒性方面具有优势,但代价是增加了计算复杂度。
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