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An efficient authentication method for AMBTC compressed images using adaptive pixel pair matching

机译:使用自适应像素对匹配的AMBTC压缩图像的有效认证方法

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摘要

The existing image authentication methods for absolute moment block truncation coding (AMBTC) modify the bits of quantitation levels or bitmaps to embed the authentication code (AC). However, the modification of the bits in these methods is equivalent to the LSB replacement, which may introduce undesirable distortions. Besides, the modification of bitmap for embedding AC reduces the image quality significantly, especially at image edges. Moreover, the existing methods might not be able to detect some special modifications to the marked image. In this paper, we propose an efficient authentication method for the AMBTC compressed image. AC is obtained from the bitmap and the location information, and is embedded into the quantization levels using the adaptive pixel pair matching (APPM) technique. Since the bitmap is unchanged and the APPM embedment is efficient, a high image quality can be achieved. The experimental results reveal that the proposed method not only significantly reduces the distortion caused by embedding but also provides a better authentication result when compared to the prior state-of-art works.
机译:现有的用于绝对矩块截断编码(AMBTC)的图像认证方法会修改量化级别或位图的位,以嵌入认证码(AC)。但是,在这些方法中对位的修改等效于LSB替换,这可能会导致不良的失真。此外,修改位图以嵌入AC会显着降低图像质量,尤其是在图像边缘。此外,现有方法可能无法检测到标记图像的某些特殊修改。在本文中,我们提出了一种针对AMBTC压缩图像的有效认证方法。从位图和位置信息获得AC,并使用自适应像素对匹配(APPM)技术将其嵌入量化级别。由于位图不变且APPM嵌入高效,因此可以实现高图像质量。实验结果表明,与现有技术相比,该方法不仅可以大大降低嵌入引起的失真,而且可以提供更好的认证效果。

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