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Image forensic signature for content authenticity analysis

机译：用于内容真实性分析的图像取证签名

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摘要

A novel image forensic approach for content authenticity analysis is proposed. We call it forensic signature. It is a compact and scalable representation generated by proper selecting robust features from the original image. In the proposed method, adaptive Harris corner detection algorithm is used to extract image feature points, then the statistics of feature point neighborhood are used to construct forensic signature. This forensic signature can provide evidence for analyzing the processed history of the received image at a lower computational cost, including geometric transform estimation, tampering detection and tampering localization. The characteristics of the proposed method are: (1) It provides a novel forensics analysis tool for tracing the processed history of the image. (2) It achieves a trade-off between robustness against content-preserving manipulations and sensitivity for the changes caused by malicious attacks. (3) By using Fisher criterion, it provides an adaptive method to generate the signature matching threshold value. (4) It can detect subtle changes in texture and color. Experimental results show that proposed method is robust for content-preserving manipulations such as JPEG compression, adding noise, and filtering, etc., and it is also capable to trace the processed history of the received image.
机译：提出了一种用于内容真实性分析的新颖图像取证方法。我们称之为法医签名。它是一种紧凑且可扩展的表示形式，它是通过从原始图像中适当选择健壮特征而生成的。该方法采用自适应哈里斯角点检测算法提取图像特征点，然后利用特征点邻域统计建立法证签名。该取证签名可以提供证据，以较低的计算成本来分析接收到的图像的处理历史，包括几何变换估计，篡改检测和篡改定位。该方法的特点是：（1）提供了一种新颖的取证分析工具，用于跟踪图像的处理历史。 （2）在针对内容保留操作的鲁棒性与对恶意攻击导致的更改的敏感性之间进行权衡。 （3）通过使用Fisher准则，它提供了一种自适应方法来生成签名匹配阈值。 （4）它可以检测纹理和颜色的细微变化。实验结果表明，该方法对于诸如JPEG压缩，添加噪声和过滤等内容保留操作具有鲁棒性，并且还能够跟踪接收到的图像的处理历史。

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