融合2D压缩感知的缩略图格式保留加密隐私保护  

Two dimensional compressed-sensing-relevant thumbnail-preserving encryption method

作　　者：匡琳[1] 邹孟雷 温文媖 Kuang Lin;Zou Menglei;Wen Wenying(Jiangxi University of Finance and Economics,Nanchang 330013,China)

机构地区：[1]江西财经大学,南昌330013

出　　处：《中国图象图形学报》2023年第3期666-679,共14页Journal of Image and Graphics

基　　金：国家自然科学基金项目(61961022,62201233,61906079,61961021);江西省主要学科学术和技术带头人培养计划(20204BCJL23036);江西省研究生教改项目(JXYJG-2021-101);江西省研究生创新项目(YC2022-B168)。

摘　　要：目的随着云存储服务的普及,人们越来越习惯在云中存储图像,但存在高开销的数据传输、数据篡改以及可能泄露用户隐私的问题。为此,本文提出一种新型的基于2维压缩感知(2D compressed sensing,2DCS)与缩略图格式保留加密(thumbnail-preserving encryption,TPE)结合的数据隐私保护方案。方法利用确定性二进制对角(deterministic binary block diagonal,DBBD)矩阵作为测量矩阵对原始图像进行压缩采样,压缩采样的观测值能够保留图像的结构相似性,提高视觉上的观感体验,并通过误差像素集和显著性像素集生成关键像素集,利用2维离散小波变换将关键像素集嵌入压缩信号,在保证图像恢复质量的同时极大地去除冗余信息。最后通过TPE使合法用户在隐私性与可用性之间取得良好平衡。结果该方案能够在压缩图像的同时保留图像的形态和重要特征,在压缩图像以降低存储成本的同时保证图像边缘和纹理等重要部分的重建质量。实验结果表明,重建图像的视觉效果与原图非常接近,实测平均信噪比(peak signal to noise ratio,PSNR)和结构相似性(structural similarity,SSIM)显著提升。压缩率为0.25时,平均PSNR大于31.8 d B,SSIM大于0.97。相比于未使用关键像素集重建图像,PSNR和SSIM分别提高约4%用于实际的图像云存储服务。结论与传统的压缩加密方案相比,基于2DCS与TPE的隐私保护方案(2DCS-TPE)不仅保证隐私性、可用性及合法用户体验,还实现了低采样复杂度和节约资源存储成本,减轻设备负担,并且具有较好的重建质量。Objective Cloud storage services are challenged for high overhead data transfer,data tampering and possible leakage of user privacy,such as leaking images to unauthorized third parties.It threatens the leakage of sensitive information like user’s identity,health status and location.Method We develop a novel data privacy protection scheme in terms of the combination of 2D compressed sensing(2DCS)and thumbnail-preserving encryption(TPE),which can use deterministic binary block diagonal(DBBD)matrix as the measurement matrix to sample the original image.Binary block diagonal(DBBD)matrix is used as the measurement matrix to sample the original image,and the sampling result can preserve the structural similarity of the image and improve the visual experience through the compressed signal mapping to YUV type signal,the reconstruction quality of the luminance part of the signal,and the error pixel set and the saliency pixel set-generated pixel set.Since the compressed signal has visual significance and can be as a downsampled version of the original image,the two-dimensional discrete wavelet transform can be used to decompose the compressed signal into 4 parts,one of which is the low-frequency part,which can make most of the visual information of the sampled values are available,and the remaining three parts are the high-frequency part of the compressed signal,which contains the detailed information only.The issue of embedding the key pixel set into the high frequency part of the compressed signal can greatly remove redundant information while ensuring the image recovery quality.In order to achieve a good balance between privacy and usability,our scheme is focused on using TPE to enable legitimate users to preview images in the cloud using visual information from ciphertext images combined with a priori knowledge to identify,organize and manage the images.The illegal third parties without a priori knowledge cannot obtain the exact in plaintext through ciphertext images.Result To ensure the reconstruction quality of key

关 键 词：云存储 缩略图格式保留加密(TPE) 压缩感知(CS) 隐私性 可用性 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]