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Colour Image Blind Watermarking Scheme Based on Fast Walsh Hadamard Transform and Hessenberg Decomposition

机译:基于快速Walsh Hadamard变换和Hessenberg分解的彩色图像盲水印方案。

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摘要

Colour image watermarking has become one of the most important algorithms for copyright protection. The following paper will present an innovative scheme for watermarking blind colour images using the discrete wavelet transform (DWT), fast Walsh Hadamard transform (FWHT) and the Hessenberg decomposition as its basis. First, two-level DWT followed by FWHT are used to decompose the host image's red channel. Next, the FWHT coefficients are split into 4 x 4 non-overlapping blocks. Then, each selected block is decomposed using Hessenberg decomposition, where the first row, first column element of the upper Hessenberg matrix H is quantified to embed the watermark information. Peak signal-to-noise ratio, normalized cross-correlation and structural similarity index measure are used to evaluate the feasibility and the robustness. The experimental results have demonstrated that the proposed watermarking scheme is highly invisible with PSNR 40 dB, for several watermarked colour images, with a capacity of 4096 bits and execution time of 0.7415s. The proposed watermarking scheme is also highly resistant to both common image processing and geometrical attacks such as filtering, JPEG2000, noise adding, cropping, scaling, blurring and sharpening, and others.
机译:彩色图像水印已成为版权保护的最重要算法之一。以下论文将提出一种创新的方案,该方案使用离散小波变换(DWT),快速沃尔什·哈达玛变换(FWHT)和Hessenberg分解作为基础为盲彩色图像加水印。首先,使用两级DWT和FWHT分解主机映像的红色通道。接下来,将FWHT系数分为4 x 4个非重叠块。然后,使用Hessenberg分解法分解每个选定的块,其中上Hessenberg矩阵H的第一行,第一列元素被量化以嵌入水印信息。峰值信噪比,归一化互相关和结构相似性指标用于评估可行性和鲁棒性。实验结果表明,对于多幅水印彩色图像,该水印方案在PSNR> 40 dB的情况下是高度不可见的,容量为4096位,执行时间为0.7415s。所提出的水印方案还对常见的图像处理和几何攻击(例如过滤,JPEG2000,添加噪声,裁剪,缩放,模糊和锐化等)具有很高的抵抗力。

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