Title of article
Efective Tamper Detection and Recovery of Images after Serious Attacks
Author/Authors
Tohidi, Faranak School of Computing and Mathematics - Charles Sturt University, Bathurst, Australia , Hooshmandasly, Mohammad Reza department of Computer Science - University of Mohaghegh Ardabili , Paulz, Manoranjan School of Computing and Mathematics - Charles Sturt University, Bathurst, Australia
Pages
21
From page
91
To page
111
Abstract
Confirming the integrity of transmitted sensitive digi-tal content is a significant issue due to the evolution in communication technologies and the accessibility of im-age processing tools. Watermarking has been a success-ful method of authentication and integrity verification recently. However, several significant problems remain such as confronting some serious attacks and recovery af-ter higher tampering rates. We propose a hybrid method to enable an image to be recovered successfully after a range of attacks. A blind watermarking approach is adopted which includes fragile authentication but robust recovery references. This is performed by
Keywords
Image watermarking , Tamper detection , Image Recovery , Attack , Tamper Recovery
Journal title
Journal of Algorithms and Computation
Serial Year
2021
Record number
2706334
Link To Document