网络与信息安全学报2026，Vol.12Issue(4)：1-16,16.DOI:10.11959/j.issn.2096-109x.AQ26102
基于二值特征压缩与超分辨率重建的以图藏图隐写方法
Hiding image within image steganography based on binary feature compression and super resolution reconstruction
摘要
Abstract
Hiding image within image is an emerging image steganography technique that aims to hide a secret im-age within a cover image and enable covert transmission while preserving the visual appearance of the stego image as much as possible.Existing methods usually employ end-to-end neural networks to perform secret image embed-ding and extraction,focusing mainly on network architecture design while making insufficient use of mature secure embedding mechanisms from traditional steganography.As a result,there remains room for improvement in the steganographic security of stego images.To address this issue,a decoupled image steganography framework based on pyramid vision transformer(PVT)encoding,binary feature compression,traditional steganographic embedding,and Swin Transformer for image restoration(SwinIR)reconstruction was proposed.Specifically,the framework first used a PVT encoder to extract and compress features from the secret image,and then converted them into a bi-nary bitstream through a binarization module.The binary bitstream was subsequently embedded into the cover im-age using space-time code(STC)from traditional color image steganography to generate the stego image.In the ex-traction stage,the binary bitstream was recovered through STC decoding,and the secret image was reconstructed using SwinIR based on a window-attention mechanism.Unlike existing methods for hiding image within image that rely on neural embedding networks,the proposed method replaced the neural embedding network with STC,enabling deep feature representation to be combined with the distortion modeling mechanism of traditional color image steganography,thereby reducing the detectability of stego images.Experimental results show that the pro-posed method can effectively reconstruct the secret image while maintaining high visual quality between the cover and stego images,and shows a certain relative security improvement against color spatial rich model(Color-SRM)and CovNet steganalyzers.关键词
图像隐写/以图藏图/二值特征压缩/超分辨率重建Key words
image steganography/hiding image within image/binary feature compression/super resolution recon-struction分类
信息技术与安全科学引用本文复制引用
刘明林,王瑜琪,郭苏娴,孙俊旗,钟智超,罗向阳,骆伟祺..基于二值特征压缩与超分辨率重建的以图藏图隐写方法[J].网络与信息安全学报,2026,12(4):1-16,16.基金项目
国家自然科学基金资助项目(No.62302458,No.62472458,No.U23A20305) （No.62302458,No.62472458,No.U23A20305）
广东省自然科学基金资助项目(No.2025A1515012823) （No.2025A1515012823）
河南省创新科技人才团队建设项目(No.254000510007)The National Natural Science Foundation of China(No.62302458,No.62472458,No.U23A20305),The Natural Science Foundation of Guangdong Province(No.2025A1515012823),Innovation Scientists and Technicians Troop Con-struction Projects of Henan Province(No.254000510007) （No.254000510007）
