Afrig, Aminuddin and Ernawan, Ferda (2023) AuSR3: A new block mapping technique for image authentication and self-recovery to avoid the tamper coincidence problem. Journal of King Saud University - Computer and Information Sciences, 35 (9). ISSN 1319-1578. (Published)
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Abstract
This paper proposes a new block mapping technique for image authentication and self-recovery designed to avoid the tamper coincidence problem called the AuSR3. The tamper coincidence problem can arise when modifications to an image affect the original block and its recovery data, resulting in the inability to recover the tampered region of the image. The new block mapping technique ensures that the recovery data of a block is embedded into the most distant location possible, minimizing the tamper coincidence problem. In addition, the improved LSB shifting algorithm is employed to embed the watermark data consisting of authentication and recovery data. The experimental result shows that the AuSR3 can produce high-quality watermarked images across various datasets with average PSNR values of 46.2 dB, which improved by 2.1 dB compared to the LSB replacement technique. The new block mapping technique avoids the tamper coincidence problem by up to 25% tampering rates. It contributes to the high-quality recovered image with a PSNR and SSIM value of 39.10 dB and 0.9944, respectively, on a 10% tampering rate on the USC-SIPI dataset. © 2023 The Authors
| Item Type: | Article |
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| Additional Information: | Indexed by Scopus |
| Uncontrolled Keywords: | Block mapping; Image authentication; Image inpainting; Self-recovery; Tamper coincidence problem |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > T Technology (General) |
| Faculty/Division: | Institute of Postgraduate Studies Faculty of Computing |
| Depositing User: | Miss Amelia Binti Hasan |
| Date Deposited: | 18 Oct 2023 07:51 |
| Last Modified: | 18 Oct 2023 07:51 |
| URI: | http://umpir.ump.edu.my/id/eprint/38921 |
| Download Statistic: | View Download Statistics |
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