郑州大学学报（理学版）2026，Vol.58Issue(1)：1-9,9.DOI:10.13705/j.issn.1671-6841.2024123
基于改进ConvNeXt Block的新型双域融合图像隐写
A Novel Dual-domain Fusion Image Steganography Based on Improved ConvNeXt Block
摘要
Abstract
To address the poor imperceptibility,insufficient security,and low steganographic capacity in image steganography,a novel dual-domain fusion image steganography scheme based on improved Conv-NeXt Block was proposed.Firstly,the improved depth separable convolution module could learn more detailed image feature information.Secondly,a novel spatial and frequency domain information fusion way was designed to improve image imperceptibility and security.Finally,multiple loss functions were employed to constrain the network in a cascaded manner.Experimental results showed that the proposed scheme achieved an average increase of 3-4 dB in peak signal-to-noise ratio compared to other steganogra-phy schemes,and the average structural similarity and learned perceptual image patch similarity were 0.99 and 0.001,respectively.The resistance to steganalysis was closer to 50%,indicating higher securi-ty.Even with high-capacity hiding,good results were still maintained.关键词
图像隐写/深度可分离卷积/空间域/频域/安全性/大容量Key words
image steganography/depth separable convolution/spatial domain/frequency domain/se-curity/high-capacity分类
信息技术与安全科学引用本文复制引用
段新涛,徐凯欧,白鹿伟,张萌,保梦茹,武银行,秦川..基于改进ConvNeXt Block的新型双域融合图像隐写[J].郑州大学学报（理学版）,2026,58(1):1-9,9.基金项目
河南省高等学校重点科研项目(23A520006) （23A520006）
河南省科技攻关计划项目(222102210199) （222102210199）
