包装学报2025，Vol.17Issue(3)：46-54,9.DOI:10.20269/j.cnki.1674-7100.2025.0007
基于全息加密与密集残差网络的图像隐写
Research on Packaging Security Steganography Based on Holographic Encryption and Dense Residual Networks
摘要
Abstract
To enhance the capacity,invisibility,and security of image steganography,an image steganography model named CryptoStegoNet based on holographic encryption and dense residual networks is proposed.The model first converts the secret information into a QR code,then processes it with holographic encryption technology,and embeds it into the cover image to generate a high-quality steganographic image.The secret information can be extracted in the reverse process.The DenseResidualGenerator module,which consists of skip connections,DenseBlock,and DenseResBlock,is a key component of this model.Additionally,by introducing the FID(Fréchet inception distance)loss,the loss function is optimized to better guide the network training,making the generated images visually and statistically closer to the cover images.Experimental results demonstrate that compared with other state-of-the-art steganography methods,the model achieves significant improvements in visual quality,steganographic performance,and security.关键词
全息加密/密集残差网络/图像隐写/包装安全Key words
holographic encryption/dense residual network/image steganography/packaging security分类
通用工业技术引用本文复制引用
王晓红,马春运,石明光..基于全息加密与密集残差网络的图像隐写[J].包装学报,2025,17(3):46-54,9.基金项目
本研究成果受国家新闻出版署智能与绿色柔版印刷重点实验室招标课题资助(ZBKT202301) （ZBKT202301）
