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基于三通道深度融合技术的图像隐写方法

刘连山 黄瑜

信息安全研究2025,Vol.11Issue(3):257-264,8.
信息安全研究2025,Vol.11Issue(3):257-264,8.DOI:10.12379/j.issn.2096-1057.2025.03.08

基于三通道深度融合技术的图像隐写方法

An Image Steganography Method Based on Three-channel Deep Fusion Technology

刘连山 1黄瑜1

作者信息

  • 1. 山东科技大学计算机科学与工程学院 山东青岛 266590
  • 折叠

摘要

Abstract

The advancement of science and technology for information transmission provides convenience,but it has also led to information leaks.Aim at enhancing the quality and capacity of steganographic images,a three-channel deep fusion technology used in image steganography is designed.Firstly,the main channel of the steganographic model is used to extract features from the carrier image.This network is based on the U-Net network structure and introduces residual blocks(ResBlock).Then,the bottom channel and the middle channel are utilized for extracting secret image features.Finally,fusing the features from the first and third layers of the bottom channel network into the corresponding layers of the middle channel network through way of cross-fusion.Further,the features extracted from the second and fourth layers of the middle channel network are fused into the corresponding layers of the main channel network.The experimental results demonstrate that the proposed method has good invisibility.When the embedding capacity reaches 24bpp,the PSNR of the hidden image reaches 41.15 dB,effectively improving the security of image transmission and steganography capacity.

关键词

图像隐写/U-Net/残差块/跳跃连接/特征融合

Key words

image steganography/U-Net/ResBlock/skip connection/feature fusion

分类

计算机与自动化

引用本文复制引用

刘连山,黄瑜..基于三通道深度融合技术的图像隐写方法[J].信息安全研究,2025,11(3):257-264,8.

基金项目

山东省自然科学基金项目(ZR2022MF277) (ZR2022MF277)

山东省重点研发计划(软科学)项目(2023RKL01003) (软科学)

信息安全研究

OA北大核心

2096-1057

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