Convolution Neural Networks for Blind Image Steganalysis: A Comprehensive Study

Hanaa Mohsin Ahmed, Halah Hasan Mahmoud
2019 Journal of Al-Qadisiyah for Computer Science and Mathematics  
Recently, Convolution Neural Network is widely applied in Image Classification, Object Detection, Scene labeling, Speech, Natural Language Processing and other fields. In this comprehensive study a variety of scenarios and efforts are surveyed since 2014 at yet, in order to provide a guide to further improve future researchers what CNN-based blind image steganalysis are presented its architecture, performance and limitations. Long-standing and important problem in image steganalysis
more » ... mainly lie in how to give high accuracy and low payload in stego or cover images for improving performance of the network.
doi:10.29304/jqcm.2019.11.2.573 fatcat:rnwnn6q5lbc6xcoucqbmnhtyxm