Image authentication and recovery: Sudoku puzzle and MD5 hash algorithm based self-embedding fragile image watermarking method

Renklier, Ayhan; Öztürk, Serkan

doi:10.1007/s11042-023-15999-2

Cited by 6 publications

(2 citation statements)

References 36 publications

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“…Our method uses VI and RI for dual tampering detection in each block, resulting in higher tampering detection accuracy compared to the single tampering detection approach of the other methods. Figure 11 shows the PSNR and SSIM comparison results between recovered images and cover images at different tampering rates compared to the methods of Tohidi [13], Aminuddin [17], Renklier [19], Haghighi [25], Li [26], Sinhal [27]. When the tampering rate is low, our method obtains higher PSNR and SSIM values.…”

Section: Tampering Detection and Recoverymentioning

confidence: 98%

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Reversible Image Fragile Watermarking with Dual Tampering Detection

Zhan,

Leng,

Chang

et al. 2024

Electronics

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The verification of image integrity has attracted increasing attention. Irreversible algorithms embed fragile watermarks into cover images to verify their integrity, but they are not reversible due to unrecoverable loss. In this paper, a new dual tampering detection scheme for reversible image fragile watermarking is proposed. The insect matrix reversible embedding algorithm is used to embed the watermark into the cover image. The cover image can be fully recovered when the dual-fragile-watermarked images are not tampered with. This study adopts two recovery schemes and adaptively chooses the most appropriate scheme to recover tampered data according to the square errors between the tampered data and the recovered data of two watermarked images. Tampering coincidence may occur when a large region of the fragile-watermarked image is tampered with, and the recovery information corresponding to the tampered pixels may be missing. The tampering coincidence problem is solved using image-rendering techniques. The experimental results show that the PSNR value of the watermarked image obtained using our scheme can reach 46.37 dB, and the SSIM value is 0.9942. In addition, high-accuracy tampering detection is achieved.

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Section: Tampering Detection and Recoverymentioning

confidence: 98%

“…Su et al [18] used the turtle shell algorithm to embed self-recovery information and checked the code of each block in the pixel values of other blocks. Renklier et al [19] proposed a spatial-domain self-embedding watermarking method based on Sudoku puzzles.…”

Section: Introductionmentioning

confidence: 99%