AuSR1: Authentication and self-recovery using a new image inpainting technique with LSB shifting in fragile image watermarking

• Main Authors: Aminuddin, Afrig, Ernawan, Ferda
• Format: Article
• Language: English
• Published: Elsevier B.V. 2022
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://umpir.ump.edu.my/id/eprint/38132/1/AuSR1.pdf; http://umpir.ump.edu.my/id/eprint/38132/; https://doi.org/10.1016/j.jksuci.2022.02.009; https://doi.org/10.1016/j.jksuci.2022.02.009

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...