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面向云端隐私保护的图像隐写方法

郭波标 杨潇晖 平萍

网络与信息安全学报2026,Vol.12Issue(4):17-32,16.
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网络与信息安全学报2026,Vol.12Issue(4):17-32,16.DOI:10.11959/j.issn.2096-109x.AQ26053

面向云端隐私保护的图像隐写方法

Image steganography for cloud-based privacy protection

郭波标 1杨潇晖 1平萍1

作者信息

  • 1. 河海大学计算机与软件学院,江苏 南京 211100
  • 折叠

摘要

Abstract

Image steganography plays a vital role in protecting private images in covert communication and secure cloud storage.Unlike one-time covert communication,cloud-based secure image storage requires supporting mul-tiple accesses to private images.Existing steganography methods for lossless reconstruction of private images can prevent distortion accumulation over multiple embedding and reconstruction cycles.However,they lack sufficient robustness and struggle to reconstruct perceptually recognizable private images in lossy environments.To address this,a method was proposed that achieves lossless reconstruction of private images in lossless conditions while en-abling perceptually recognizable reconstruction under lossy conditions.First,a nested quantization index modula-tion with dither compensation(DC-NQIM)algorithm was proposed,which doubles the embedding capacity of quantization index modulation.Subsequently,by optimizing the carrier stability and the synergistic matching rela-tionship between the bit-planes of privacy images and the nested modulation levels,it was ensured that the bit-planes contributing more to the visual quality of the image were assigned to the modulation levels with better stabil-ity.Finally,a local structure-aware adaptive privacy images error correction algorithm was introduced to avoid lo-cal artifacts caused by bit-plane error accumulation.Experimental results show that the proposed method achieves an infinite PSNR for reconstructing privacy images under lossless conditions,thereby supporting repeated access to privacy images;under lossy conditions,it can reconstruct perceptually recognizable privacy images with a PSNR close to 30 dB,making it suitable for lossy cloud-based privacy images protection scenarios.

关键词

信息隐藏/隐私保护/以图藏图/量化索引调制

Key words

information hiding/privacy protection/image-in-image/quantization index modulation

分类

信息技术与安全科学

引用本文复制引用

郭波标,杨潇晖,平萍..面向云端隐私保护的图像隐写方法[J].网络与信息安全学报,2026,12(4):17-32,16.

基金项目

中央高校基本科研业务费专项资金资助项目(No.B250205032) (No.B250205032)

国家自然科学基金资助项目(No.61902110) (No.61902110)

江苏省研究生科研与实践创新计划项目(No.KYCX25_0918)The Fundamental Research Funds for the Central Universities(No.B250205032),The National Natural Science Foundation of China(No.61902110),Postgraduate Research&Practice Innovation Program of Jiangsu Province(No.KYCX25_0918) (No.KYCX25_0918)

网络与信息安全学报

2096-109X

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