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首页> 外文会议>Machine Vision, 2009. ICMV '09 >Semi-fragile Image Authentication Using Robust Image Hashing with Localization
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Semi-fragile Image Authentication Using Robust Image Hashing with Localization

机译：使用具有本地化功能的鲁棒图像哈希进行半脆弱图像认证

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The great advance in image processing demands a guarantee for assuring integrity of images. In this paper, a semi-fragile image authentication technique is proposed, which can detect and localize the malicious alteration distinguishing the content-preserving manipulations, such as JPEG compression, from the content alterations. The original image is divided into large blocks (sub-images) that are also divided into 8x8 blocks. Secure image hashing is utilized to generate the sub-image hash (signature) that may slightly change when the content-preserving manipulations are applied. Then, two sub-image hash copies are embedded into relatively-distant sub-images using a doubly linked chain, which prevents the vector quantization (VQ) attack. The hash bits are robustly embedded in chosen discrete cosine transform (DCT) coefficients exploiting a property of DCT coefficients that is invariant before and after JPEG compression. The experimental results show that the proposed technique successfully detects and localizes the content alterations only. Furthermore, It can effectively resist many attacks such as vector quantization attacks.
机译：图像处理的巨大进步要求保证图像完整性。在本文中，提出了一种半脆弱的图像认证技术，该技术可以检测和定位恶意篡改，从而从内容篡改中区分出JPEG压缩等内容保留操作。原始图像分为大块（子图像），大块也分为8x8块。安全图像散列用于生成子图像散列（签名），当应用内容保留操作时，子图像散列可能会略有变化。然后，使用双链接链将两个子图像哈希副本嵌入到相对较远的子图像中，这可以防止矢量量化（VQ）攻击。利用在JPEG压缩之前和之后不变的DCT系数的属性，将散列位牢固地嵌入所选的离散余弦变换（DCT）系数中。实验结果表明，所提出的技术仅能成功地检测和定位内容更改。此外，它可以有效抵抗许多攻击，例如矢量量化攻击。

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