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A self-embedding fragile image authentication based on singular value decomposition
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DOI：10.1007/s11042-020-09254-1.png)
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Nowadays, image authentication techniques are widely applied to digital multimedia to address their fraudulent and illegal use. Digital multimedia plays a vital role in various real time applications and therefore, there is a need for the development of more powerful and robust algorithms in order to strengthen their security. In this paper, we proposed a self-embedding fragile image authentication method based on Singular Value Decomposition (SVD). First the original image was divided into non-overlapping blocks and thereafter, each block was further divided into two parts: upper part and bottom part. After block separation, SVD was performed to generate the authentication information for both upper and bottom parts of each block, which were concatenated to generate the authentication code. We performed a series of attacking experiments on the original image to test the robustness of the proposed method. The recovered imperceptibility of the proposed scheme was measured using False Positive Rate (FPR), False Negative Rate (FNR), Peak Signal to Noise Ratio (PSNR), and Structural Similarity (SSIM). It was found that our method not only surpassed previous methods in PSNR but FNR and FPR as well. The experimental results showed an excellent visual imperceptibility against a variety of attacks. The proposed method detected image tampering precisely, and even after massive tampering, it was able to recover the tampered image with high quality.
Keyword:
Image authentication
Fragile watermarking
Singular value decomposition
Self-embedding authentication
Steganography
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3
论文数:
2.0W
被引数:
3.2W
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