Images steganalysis using GARCH model for feature selection

作者：

Highlights：

• Using features from the GARCH model (which is usually used in economics) for image steganalysis.

• Modeling the wavelet coefficients of Image signals which are highly heavy-tail.

• Employing the higher order statistics to capture any footprint in the image left by data hiding.

• Applying the maximum likelihood rule for detection.

摘要

Highlights•Using features from the GARCH model (which is usually used in economics) for image steganalysis.•Modeling the wavelet coefficients of Image signals which are highly heavy-tail.•Employing the higher order statistics to capture any footprint in the image left by data hiding.•Applying the maximum likelihood rule for detection.

论文关键词：Steganalysis,Feature Extraction,GARCH Model,Higher order statistics

论文评审过程：Received 5 January 2015, Revised 12 August 2015, Accepted 12 August 2015, Available online 24 August 2015, Version of Record 3 September 2015.

论文官网地址：https://doi.org/10.1016/j.image.2015.08.006