AuSR2: Image watermarking technique for authentication and self-recovery with image texture preservation

• Main Authors: Aminuddin, Afrig, Ernawan, F.
• Format: Article
• Language: English
• Published: Elsevier Ltd 2022
• Subjects: QA75 Electronic computers. Computer science; QA76 Computer software
• Online Access: http://umpir.ump.edu.my/id/eprint/34818/1/AuSR2-published.pdf; http://umpir.ump.edu.my/id/eprint/34818/; http://www.elsevier.com/locate/compeleceng; https://doi.org/10.1016/j.compeleceng.2022.108207
• Institution: Universiti Malaysia Pahang

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