Aminuddin, Afrig and Ernawan, F. (2022) AuSR2: Image watermarking technique for authentication and self-recovery with image texture preservation. Computers & Electrical Engineering, 102. pp. 108-207. ISSN 0045-7906. (Published)
|
Pdf
AuSR2-published.pdf Download (775kB) | Preview |
Abstract
This paper presents an image watermarking technique for authentication and self-recovery called AuSR2. The AuSR2 scheme partitions the cover image into 3 × 3 non-overlapping blocks. The watermark data is embedded into two Least Significant Bit (LSB), consisting of two authentication bits and 16 recovery bits for each block. The texture of each block is preserved in the recovery data. Thus, each tampered pixel can be recovered independently instead of using the average block. The recovery process may introduce the tamper coincidence problem, which can be solved using image inpainting. The AuSR2 implements the LSB shifting algorithm to increase the imperceptibility by 2.8%. The experimental results confirm that the AuSR2 can accurately detect the tampering area up to 100%. The AuSR2 can recover the tampered image with a PSNR value of 38.11 dB under a 10% tampering rate. The comparative analysis proves the superiority of the AuSR2 compared to the existing schemes
Item Type: | Article |
---|---|
Uncontrolled Keywords: | Image authentication; image watermarking; Image inpainting; Self-recovery; Tamper detection; Tamper coincidence problem |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
Faculty/Division: | Institute of Postgraduate Studies Faculty of Computing |
Depositing User: | Miss. Ratna Wilis Haryati Mustapa |
Date Deposited: | 02 Aug 2022 08:14 |
Last Modified: | 02 Aug 2022 08:14 |
URI: | http://umpir.ump.edu.my/id/eprint/34818 |
Download Statistic: | View Download Statistics |
Actions (login required)
View Item |