AuSR1: Authentication and self-recovery using a new image inpainting technique with LSB shifting in fragile image watermarking
With the rapid development of multimedia technology, editing and manipulating digital images have become more accessible than ever. This paper proposed color image authentication based on blind fragile image watermarking for tamper detection and self-recovery named AuSR1. The AuSR1 divides each chan...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Elsevier B.V.
2022
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/38132/ http://umpir.ump.edu.my/id/eprint/38132/1/AuSR1.pdf |
| _version_ | 1848825428933869568 |
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| author | Aminuddin, Afrig Ernawan, Ferda |
| author_facet | Aminuddin, Afrig Ernawan, Ferda |
| author_sort | Aminuddin, Afrig |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | With the rapid development of multimedia technology, editing and manipulating digital images have become more accessible than ever. This paper proposed color image authentication based on blind fragile image watermarking for tamper detection and self-recovery named AuSR1. The AuSR1 divides each channel of the cover image into non-overlapping blocks with the size of 2 × 2 pixels. The authentication data is embedded into the original block location, while the recovery data is embedded into the distant location from the original location based on the block mapping algorithm. The watermark data is then embedded into the 2 LSB to achieve high quality of the recovered image under tampering attacks. In addition, the permutation algorithm is applied to ensure the security of the watermark data. The AuSR1 utilizes a three-layer authentication algorithm to achieve a high detection rate. The experimental results show that the scheme produced a PSNR value of 45.57 dB and an SSIM value of 0.9972 of the watermarked images. Furthermore, the AuSR1 detected the tampered area of the images with a high precision value of 0.9943. In addition, the recovered image achieved a PSNR value of 27.64 dB and an SSIM value of 0.9339 on a 50% tampering rate. |
| first_indexed | 2025-11-15T03:28:47Z |
| format | Article |
| id | ump-38132 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:28:47Z |
| publishDate | 2022 |
| publisher | Elsevier B.V. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-381322023-07-25T06:57:15Z http://umpir.ump.edu.my/id/eprint/38132/ AuSR1: Authentication and self-recovery using a new image inpainting technique with LSB shifting in fragile image watermarking Aminuddin, Afrig Ernawan, Ferda QA75 Electronic computers. Computer science With the rapid development of multimedia technology, editing and manipulating digital images have become more accessible than ever. This paper proposed color image authentication based on blind fragile image watermarking for tamper detection and self-recovery named AuSR1. The AuSR1 divides each channel of the cover image into non-overlapping blocks with the size of 2 × 2 pixels. The authentication data is embedded into the original block location, while the recovery data is embedded into the distant location from the original location based on the block mapping algorithm. The watermark data is then embedded into the 2 LSB to achieve high quality of the recovered image under tampering attacks. In addition, the permutation algorithm is applied to ensure the security of the watermark data. The AuSR1 utilizes a three-layer authentication algorithm to achieve a high detection rate. The experimental results show that the scheme produced a PSNR value of 45.57 dB and an SSIM value of 0.9972 of the watermarked images. Furthermore, the AuSR1 detected the tampered area of the images with a high precision value of 0.9943. In addition, the recovered image achieved a PSNR value of 27.64 dB and an SSIM value of 0.9339 on a 50% tampering rate. Elsevier B.V. 2022 Article PeerReviewed pdf en cc_by_nc_nd_4 http://umpir.ump.edu.my/id/eprint/38132/1/AuSR1.pdf Aminuddin, Afrig and Ernawan, Ferda (2022) AuSR1: Authentication and self-recovery using a new image inpainting technique with LSB shifting in fragile image watermarking. Journal of King Saud University - Computer and Information Sciences, 34 (8). pp. 5822-5840. ISSN 1319-1578. (Published) https://doi.org/10.1016/j.jksuci.2022.02.009 https://doi.org/10.1016/j.jksuci.2022.02.009 |
| spellingShingle | QA75 Electronic computers. Computer science Aminuddin, Afrig Ernawan, Ferda AuSR1: Authentication and self-recovery using a new image inpainting technique with LSB shifting in fragile image watermarking |
| title | AuSR1: Authentication and self-recovery using a new image inpainting technique with LSB shifting in fragile image watermarking |
| title_full | AuSR1: Authentication and self-recovery using a new image inpainting technique with LSB shifting in fragile image watermarking |
| title_fullStr | AuSR1: Authentication and self-recovery using a new image inpainting technique with LSB shifting in fragile image watermarking |
| title_full_unstemmed | AuSR1: Authentication and self-recovery using a new image inpainting technique with LSB shifting in fragile image watermarking |
| title_short | AuSR1: Authentication and self-recovery using a new image inpainting technique with LSB shifting in fragile image watermarking |
| title_sort | ausr1: authentication and self-recovery using a new image inpainting technique with lsb shifting in fragile image watermarking |
| topic | QA75 Electronic computers. Computer science |
| url | http://umpir.ump.edu.my/id/eprint/38132/ http://umpir.ump.edu.my/id/eprint/38132/ http://umpir.ump.edu.my/id/eprint/38132/ http://umpir.ump.edu.my/id/eprint/38132/1/AuSR1.pdf |