Image alignment based perceptual image hash for content authentication

作者：

Highlights：

• Proposed a perceptual image hash for content authentication.

• Image tampering detection and tampering localization.

• Image alignment is used to obtain the standard position of an image object.

• Using Watson’s visual model to select Perceptual robust features.

• Fisher criterion is used to generate system parameters.

摘要

•Proposed a perceptual image hash for content authentication.•Image tampering detection and tampering localization.•Image alignment is used to obtain the standard position of an image object.•Using Watson’s visual model to select Perceptual robust features.•Fisher criterion is used to generate system parameters.

论文关键词：Image alignment,Perceptual image hash,Geometric distortion-resilient,Image forging detection,Image tampering localization

论文评审过程：Received 15 May 2018, Revised 12 September 2019, Accepted 13 September 2019, Available online 20 September 2019, Version of Record 25 September 2019.

论文官网地址：https://doi.org/10.1016/j.image.2019.115642