Deep residual learning for image steganalysis

• Published in: Multimedia tools and applications Vol. 77; no. 9; pp. 10437 - 10453
• Main Authors: Wu, Songtao, Zhong, Shenghua, Liu, Yan
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.05.2018; Springer Nature B.V
• Subjects: Artificial neural networks; Computer Communication Networks; Computer Science; Data Structures and Information Theory; Digital imaging; Learning; Messages; Multimedia Information Systems; Neural networks; Special Purpose and Application-Based Systems; Steganography; Convolutional neural networks; Residual learning; Image steganalysis

Image steganalysis is to discriminate innocent images and those suspected images with hidden messages. This task is very challenging for modern adaptive steganography, since modifications due to message hiding are extremely small. Recent studies show that Convolutional Neural Networks (CNN) have dem...