A novel forged blurred region detection system for image forensic applications

作者：

Highlights：

• Digital image forgery detection for blurred duplicate regions is proposed.

• The proposed algorithm relies on blur metric evaluation and phase congruency.

• Two image databases, MICC-F220 and image data manipulation are used for evaluation.

• Experimental results demonstrate the effectiveness of detecting duplicated regions.

摘要

•Digital image forgery detection for blurred duplicate regions is proposed.•The proposed algorithm relies on blur metric evaluation and phase congruency.•Two image databases, MICC-F220 and image data manipulation are used for evaluation.•Experimental results demonstrate the effectiveness of detecting duplicated regions.

论文关键词：Copy–move detection,Blurred forged region detection,Statistical features,Phase congruency,Structural features,,feature similarity

论文评审过程：Received 6 May 2016, Revised 18 July 2016, Available online 19 July 2016, Version of Record 25 July 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.07.026