收稿日期: 2018-01-25
网络出版日期: 2018-03-31
基金资助
国家自然科学基金（No.61572329，No.61772349）资助
Preprocessing Layer in Spatial Steganalysis Based on Deep Learning
Received date: 2018-01-25
Online published: 2018-03-31
史晓裕, 李斌, 谭舜泉 . 深度学习空域隐写分析的预处理层[J]. 应用科学学报, 2018 , 36(2) : 309 -320 . DOI: 10.3969/j.issn.0255-8297.2018.02.010
In this paper, we propose some preprocessing methods to improve the performance of a well-designed convolution neural network based on the preprocessed layer. In the proposed methods, linear and nonlinear residuals are obtained by employing a set of derivative flters, and then quantized and truncated for the effective extraction. Experimental results show that the detection performances with the three proposed preprocessing methods are all improved. Although the improvements are not consistence under different spatial steganographic algorithms and different embedding rates. The detection performance is 6% better than the prior work for S-UNIWARD at 0.4bpp.
Key words： steganalysis; convolutional neural network; derivative flters
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