深度学习空域隐写分析的预处理层

doi:10.3969/j.issn.0255-8297.2018.02.010

Abstract

Abstract:

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

CLC Number:

TP391

SHI Xiao-yu, LI Bin, TAN Shun-quan. Preprocessing Layer in Spatial Steganalysis Based on Deep Learning[J]. Journal of Applied Sciences, 2018, 36(2): 309-320.

References

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Preprocessing Layer in Spatial Steganalysis Based on Deep Learning

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