Image forgery detection by semi-automatic wavelet soft-Thresholding with error level analysis

作者：

Highlights：

• Images are doctored to represent forgeries.

• Error levels are computed and noise is removed using wavelet thresholding.

• Filtering through wavelet thresholding proved to be effective in detecting forgeries.

摘要

•Images are doctored to represent forgeries.•Error levels are computed and noise is removed using wavelet thresholding.•Filtering through wavelet thresholding proved to be effective in detecting forgeries.

论文关键词：Wavelet,Threshold,Error level analysis,Image tampering,Image forgery,Image forensics

论文评审过程：Received 19 December 2016, Revised 23 April 2017, Accepted 17 May 2017, Available online 19 May 2017, Version of Record 10 June 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.05.044