Thresholding binary coding for image forensics of weak sharpening

作者：

Highlights：

• The effects of sharpening on the image and the corresponding unsharp mask are analyzed.

• Thresholding binary coding is proposed for the texture analysis.

• The constructed features are effective to identify weak sharpening.

• The proposed algorithm is robust to post-JPEG compression and noise addition.

摘要

•The effects of sharpening on the image and the corresponding unsharp mask are analyzed.•Thresholding binary coding is proposed for the texture analysis.•The constructed features are effective to identify weak sharpening.•The proposed algorithm is robust to post-JPEG compression and noise addition.

论文关键词：Image forensics,Texture pattern mapping,Thresholding binary coding,Unsharp mask,Weak sharpening

论文评审过程：Received 26 December 2019, Revised 29 June 2020, Accepted 16 July 2020, Available online 22 July 2020, Version of Record 23 July 2020.

论文官网地址：https://doi.org/10.1016/j.image.2020.115956