Augmented features to detect image splicing on SWT domain

作者：

Highlights：

• Image splicing causes distortions on textural structure and statistical properties.

• Our work utilizes statistical and textural properties in a hybrid manner.

• Four directional Markov model and textural information has been used in SWT domain.

• Experimental results shows that the proposed method outperform the state of the art.

摘要

•Image splicing causes distortions on textural structure and statistical properties.•Our work utilizes statistical and textural properties in a hybrid manner.•Four directional Markov model and textural information has been used in SWT domain.•Experimental results shows that the proposed method outperform the state of the art.

论文关键词：Image splicing detection,Stationary wavelet transform,Markov model,Textural features,Image forgery detection

论文评审过程：Received 27 June 2018, Revised 29 March 2019, Accepted 16 April 2019, Available online 17 April 2019, Version of Record 29 April 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.04.036