首页 | 本学科首页   官方微博 | 高级检索  
     


Improved image tamper localisation using chaotic maps and self-recovery
Affiliation:1. Indian Institute of Information Technology Chittoor, Sri City, India;2. Indian Institute of Information Technology Allahabad, India;1. International Computer Institute, Ege University, İzmir, Turkey;2. Electrical and Electronics Engineering Department, Boğaziçi University, İstanbul, Turkey;3. Department of Computer Engineering, İzmir University of Economics, İzmir, Turkey;1. Shenzhen Key Laboratory of Internet Information Collaboration, Shenzhen Graduate School, Harbin Institute of Technology, China;2. Department of Mathematics, Hong Kong Baptist University, Kowloon Tong, Hong Kong;1. Joint Laboratory of High Speed Multi-source Image Coding and Processing, Xidian University, Xian 710071, China;2. Southwest University of Science and Technology, Mianyang 621010, China;3. GuangDong University of Technology, Guangzhou 510006, China
Abstract:In this paper an image tamper localisation scheme is proposed in which authentication bits of a 2 × 2 image block are generated using the chaotic maps. Further the scheme is improved by including a self-recovery method to recover the tampered regions. To improve the quality of the recovered image, two different sets of restoration bits of a block are generated and each one is embedded into randomly selected distinct blocks. The proposed tamper detection scheme performs better than some of the recent schemes proposed by the researchers. The experimental results demonstrate the accuracy and fragility of the tamper detection scheme, and the efficacy of the recovery method.
Keywords:Chaotic maps  Fragile watermarking  Image authentication  Self recovery  Tamper localisation
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号