Gauss–Jordan elimination-based image tampering detection and self-recovery
作者：
Highlights：
• A novel Gauss–Jordan elimination-based scheme is proposed for image tamper detection.
• The improved check bits generation algorithm is proposed to generate the check bits.
• The morphological processing-based enhancement algorithm is proposed.
• The edge extension preprocessing is proposed to improve accuracy of recovered region.
• The Gauss–Jordan Elimination-Based Self-Recovery method is proposed for recovering.
摘要
•A novel Gauss–Jordan elimination-based scheme is proposed for image tamper detection.•The improved check bits generation algorithm is proposed to generate the check bits.•The morphological processing-based enhancement algorithm is proposed.•The edge extension preprocessing is proposed to improve accuracy of recovered region.•The Gauss–Jordan Elimination-Based Self-Recovery method is proposed for recovering.
论文关键词：Improved check bits generation,Image tampering detection,Morphological processing-based enhancement,Gauss–Jordan Elimination-Based Self-Recovery
论文评审过程：Received 28 April 2020, Revised 13 August 2020, Accepted 8 October 2020, Available online 19 October 2020, Version of Record 21 October 2020.
论文官网地址：https://doi.org/10.1016/j.image.2020.116038
