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A quantization-based semi-fragile watermarking scheme for image content authentication

机译:用于图像内容认证的基于量化的半脆弱水印方案

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This paper presents a novel semi-fragile watermarking scheme for image content authentication with tampering localization. The proposed scheme uses a non-traditional quantization method to modify one chosen approximation coefficient of each non-overlapping block to ensure its robustness against incidental attacks and fragileness against malicious attacks. The image content authentication starts with extracting watermark using the parity of quantization results from the probe image, where the round operation is used to ensure the semi-fragile property. It then constructs a binary error map and computes two authentication measures with Af, measuring the overall similarity between extracted and embedded watermarks and M_2 measuring the overall clustering level of tampered error pixels. These two measures are further integrated to confirm the image content and localize the possible tampered areas. Our experimental results show that our scheme outperforms four peer schemes and is capable of identifying intentional tampering and incidental modification, and localizing tampered regions.
机译:本文提出了一种新颖的半脆弱水印方案,用于带有篡改定位的图像内容认证。所提出的方案使用非传统的量化方法来修改每个非重叠块的一个选择的近似系数,以确保其对偶发攻击的鲁棒性和对恶意攻击的脆弱性。图像内容认证从使用探测图像的量化结果奇偶校验提取水印开始,其中使用舍入运算以确保半脆弱性。然后,它构造一个二进制错误图,并使用Af计算两种认证措施,分别测量提取出的水印和嵌入的水印之间的整体相似性,并使用M_2测量被篡改的错误像素的整体聚类程度。进一步整合了这两种措施,以确认图像内容并确定可能的篡改区域。我们的实验结果表明,我们的方案优于四个对等方案,并且能够识别故意的篡改和偶然的修改,并能够对篡改区域进行定位。

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