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A novel triple recovery information embedding approach for self-embedded digital image watermarking

机译:自嵌入式数字图像水印的新型三重恢复信息嵌入方法

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Image tamper detection and recovery has become an important issue in recent years. In order to detect and recover high tampering rated images, this paper presents a novel self-embedded fragile watermarking method with triple recovery information embedding approach. In this proposed method host image is divided into sixteen main blocks. Four partner blocks are selected from main blocks as a partner group using Look-Up table which is constructed for recovery against high tampering rated images. Each partner block is divided into 4x4 blocks. Recovery data of each partner block is generated from the mean values of the 4 × 4 blocks. Then, triple recovery information for each partner block is constructed by combining recovery data of the three other partner blocks. After the generation of the recovery information, each partner block is divided into 16 × 16 blocks. Then, these blocks are divided into four 8x8 sub-blocks. Recovery bits for each partner block are embedded into the first and second least significant bits (LSBs) of the first three sub-blocks. It means that triple copies of recovery information for each partner block are embedded into three other blocks in the image, which provides triple chance for recovery of the tampered areas. On the other hand, authentication information is generated from the pixels of the 16 × 16 recovery information embedded image blocks by using MD5 hash function. This authentication information is embedded into the quarter part of each 16x16 block by using LSB substitution. The performance of the proposed method has been demonstrated by applying different size of cropping attacks to the different areas of the watermarked images. Experimental results show that the proposed method satisfactory recovers up to 75% tampering rated images.
机译:图像篡改检测和恢复已成为近年来的一个重要问题。为了检测和恢复高篡改额定图像,本文提出了一种具有三重恢复信息嵌入方法的新型自嵌入脆弱水印方法。在该提出的方法中,主机图像被分成16个主块。使用查找表从主块中选择四个合作伙伴块作为合作伙伴组,该块是针对高篡改额定图像的恢复而构造的。每个合作伙伴块分为4x4块。每个合作伙伴块的恢复数据是从4×4块的平均值生成的。然后,通过组合三个其他合作伙伴块的恢复数据来构建每个合作伙伴块的三重恢复信息。在生成恢复信息之后,每个合作伙伴块分为16×16块。然后,这些块分为四个8x8子块。每个合作伙伴块的恢复位嵌入到前三个子块的第一和第二最低有效位(LSB)中。这意味着每个合作伙伴块的恢复信息的三拷贝嵌入到图像中的三个其他块中,为恢复篡改区域提供三倍机会。另一方面,通过使用MD5散列函数从16×16恢复信息嵌入图像块的像素生成认证信息。通过使用LSB替换,该认证信息嵌入了每个16x16块的四分之一部分。通过将不同大小的裁剪攻击应用于水印图像的不同区域来证明所提出的方法的性能。实验结果表明,该方法令人满意的方法恢复高达75%篡改额定图像。

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