Three layer authentications with a spiral block mapping to prove authenticity in medical images
Digital medical image has a potential to be manipulated by unauthorized persons due to advanced communication technology. Verifying integrity and authenticity have become important issues on the medical image. This paper proposed a self-embedding watermark using a spiral block mapping for tamper det...
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Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Science and Information Organization
2022
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Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/34937/1/Three%20Layer%20authentications%20with%20a%20spiral%20block%20mapping%20to%20prove%20authenticity%20in%20medical%20images.pdf http://umpir.ump.edu.my/id/eprint/34937/ https://doi.org/10.14569/IJACSA.2022.0130425 https://doi.org/10.14569/IJACSA.2022.0130425 |
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Summary: | Digital medical image has a potential to be manipulated by unauthorized persons due to advanced communication technology. Verifying integrity and authenticity have become important issues on the medical image. This paper proposed a self-embedding watermark using a spiral block mapping for tamper detection and restoration. The block-based coding with the size of 3x3 was applied to perform selfembedding watermark with two authentication bits and seven recovery bits. The authentication bits are obtained from a set of condition between sub-block and block image, and the parity bits of each sub-block. The authentication bits and the recovery bits are embedded in the least significant bits using the proposed spiral block mapping. The recovery bits are embedded into different sub-blocks based on a spiral block mapping. The watermarked images were tested under various tampered images such as blurred image, unsharp-masking, copy-move, mosaic, noise, removal, and sharpening. The experimental results show that the scheme achieved a PSNR value of about 51.29 dB and a SSIM value of about 0.994 on the watermarked image. The scheme showed tamper localization with accuracy of 93.8%. In addition, the proposed scheme does not require external information to perform recovery bits. The proposed scheme was able to recover the tampered image with a PSNR value of 40.45 dB and a SSIM value of 0.994. |
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