基于奇异值分解的绑定RGB彩色图像水印

N. Goléa, Rachid Seghir, R. Benzid
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引用次数: 87

摘要

本文提出了一种新的基于奇异值分解的RGB彩色图像水印方法,该方法将水印假设为RGB彩色图像,并对其进行盲检测和提取。通过测量该方法的不可见性和鲁棒性来研究该方法的性能。对于不可感知能力,采用定量指标Peek信噪比(PSNR)来评估原始图像与相应水印图像之间的差异。为了提高鲁棒性,还使用相关系数(CC)来评价原始水印与提取水印之间的相似度。实验结果表明,该方法具有较强的鲁棒性,能够生成高质量的水印图像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A bind RGB color image watermarking based on singular value decomposition
In this paper, we propose a novel SVD-based RGB color image watermarking, in which the watermark is assumed to be an RGB color image whose detection and extraction are performed in a blind manner. The performance of the proposed watermarking method is investigated by measuring its imperceptible and robust capabilities. For the imperceptible capability, a quantitative index, Peek Signal-to-Noise Ratio (PSNR), is employed to evaluate the difference between an original image and its corresponding watermarked image. For the robust capability, the Correlation Coefficient (CC) is also used to evaluate the similarity between the original watermark and the extracted one. Experimental results indicate that our technique is robust and produces high-quality watermarked images.
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