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 difficulties mainly lie in how to give high accuracy and low payload in stego or cover images for improving performance of the network.
CITATION STYLE
Mohsin Ahmed, H., & Hasan Mahmoud, H. (2019). Convolution Neural Networks for Blind Image Steganalysis: A Comprehensive Study. Journal of Al-Qadisiyah for Computer Science and Mathematics, 11(2), 53–64. https://doi.org/10.29304/jqcm.2019.11.2.573
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