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Image steganalysis based on deep learning

机译:基于深度学习的图像隐写分析

摘要

The present invention provides a method for detecting image steganography based on deep learning, which comprises: filtering images having steganographic class label or true class label in a training set with a high-pass filter to obtain a training set including steganographic class residual images and true class residual images; training a deep network model on said training set to obtain a trained deep model for steganalysis; filtering the image to be detected with said high-pass filter to obtain a residual image to be detected; detecting said residual image to be detected on said deep model so as to determine whether said residual image to be detected is a steganographic image. The method for detecting image steganography in the present invention can create an automatic blind steganalysis model through feature learning and can identify steganographic images accurately.
机译:本发明提供了一种基于深度学习的图像隐写检测方法,包括:用高通滤波器对训练集中具有隐写类标签或真实类标签的图像进行滤波,得到包含隐写类残差图像和真实图像的训练集。分类残像;在所述训练集上训练深度网络模型,以获得训练后的深度分析用于隐身分析;所述高通滤波器对待检测图像进行滤波,得到待检测残留图像;在所述深度模型上检测所述待检测残留图像,以确定所述待检测残留图像是否为密写图像。本发明的图像隐写检测方法可以通过特征学习建立自动盲隐写分析模型,并可以准确地识别隐写图像。

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