用于图像认证的几何鲁棒图像哈希方案

Yan Wo, Bo Zhang
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引用次数: 0

摘要

提出了一种基于极复指数变换(PCET)的几何鲁棒图像哈希方案。该方案利用SUSAN检测器的响应值对视觉图像进行增强,然后对增强后的图像进行PCET处理,得到具有旋转不变性和尺度不变性的矩特征。然后根据SFFS特征选择方法导出的规则对矩特征进行处理,得到中间哈希值。最后,使用确定性自适应量化器将中间散列量化为最终图像散列位。实验结果表明,该方案能够承受JPEG压缩、几何失真、模糊、加噪和增强等大多数典型的图像处理操作。与文献中的其他方法相比,我们的方法在小篡改检测方面对图像认证更有效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Geometrically robust image hashing scheme for image authentication
In this paper, a geometrically robust image hashing scheme based on Polar Complex Exponential Transform(PCET) is proposed. The reported scheme enhances visual image with the response values of SUSAN detector, then performs PCET on the enhanced image to get the moment features which have rotation and scaling invariance. And then the moment features are processed by the rules, derived from SFFS feature selection method, to obtain the intermediate hash. Finally, the intermediate hash is quantized as the final image hash bits with the deterministic adaptive quantizer. Experimental results show that this scheme can tolerate most of the typical image processing manipulations, such as JPEG compression, geometric distortion, blur, addition of noise, and enhancement. Compared with other approaches in literatures, our method is more effective for image authentication in terms of small tampering detection.
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