信息安全研究2025，Vol.11Issue(4)：318-325,8.DOI:10.12379/j.issn.2096-1057.2025.04.04
基于多方向混合滤波器的轻量化图像隐写分析模型
A Lightweight Image Steganalysis Model Based on Multi-directional Hybrid Filters
摘要
Abstract
Aiming at the problems of large number of parameters,limited generalization ability and low accuracy of current image steganalysis model,a lightweight image steganalysis model based on multi-direction hybrid filters is constructed.In this model,a multi-directional and multi-size high and low frequency hybrid filter bank is designed and the channel attention mechanism is used to preprocess the image,so as to adaptively extract the effective features in the image and improve the generalization ability of the model.The feature extraction module designs a multi-layer convolution including the residual module to extract the image features in depth and improve the ability of the model to capture features.The dimensionality reduction module adopts depthwise separable convolution instead of traditional convolution,which effectively reduces the number of model parameters and achieves lightweight.Comparative analysis of experimental data showed that the model had the characteristics of lightweight and good generalization ability,and improved the accuracy of steganalysis.关键词
图像隐写分析/混合滤波器/通道注意力机制/深层卷积/深度可分离卷积Key words
image steganalysis/hybrid filters/channel attention mechanism/deep convolution/depthwise separable convolution分类
计算机与自动化引用本文复制引用
胡原平,阎红灿,刘盈..基于多方向混合滤波器的轻量化图像隐写分析模型[J].信息安全研究,2025,11(4):318-325,8.基金项目
教育部协同育人项目(202102269033) （202102269033）
