Visual Security Assessment via Saliency-Weighted Structure and Orientation Similarity for Selective Encrypted Images

Zhengguo Wu,Kai Zhang,Jiande Sun,Wenbo Wan,Yannan Ren,Jing Li,Jinwei Wang

doi:10.1155/2021/6675354

Abstract

Selective encryption has been widely used in image privacy protection. Visual security assessment is necessary for the effectiveness and practicability of image encryption methods, and there have been a series of research studies on this aspect. However, these methods do not take into account perceptual factors. In this paper, we propose a new visual security assessment (VSA) by saliency-weighted structure and orientation similarity. Considering that the human visual perception is sensitive to the characteristics of selective encrypted images, we extract the structure and orientation feature maps, and then similarity measurements are conducted on these feature maps to generate the structure and orientation similarity maps. Next, we compute the saliency map of the original image. Then, a simple saliency-based pooling strategy is subsequently used to combine these measurements and generate the final visual security score. Extensive experiments are conducted on two public encryption databases, and the results demonstrate the superiority and robustness of our proposed VSA compared with the existing most advanced work.

Highlights

Nowadays, with the widely pervasive usage of interaction devices, such as cameras, cloud storage devices, and the explosive growth of digital images, privacy protection has attracted a lot of attention from researchers [1,2,3,4,5]
In the low image quality range, on the IVC-SelectEncrypt database, visual information fidelity (VIF) shows superior performance in maxD, luminance similarity score (LSS) shows the best performance on Person linear correlation coefficient (PLCC), Spearman rank correlation coefficient (SRCC), Kendall rank correlation coefficient (KRCC), and root mean-squared error (RMSE), our proposed visual security assessment (VSA) achieves the best value on μD and σD, and other values are very close to the best one
On the PEID database, VIF shows superior performance in confidence evaluation, and our proposed VSA achieves the best performance on PLCC, SRCC, KRCC, and RMSE

Summary

Introduction

With the widely pervasive usage of interaction devices, such as cameras, cloud storage devices, and the explosive growth of digital images, privacy protection has attracted a lot of attention from researchers [1,2,3,4,5]. Various security schemes, such as digital watermarking [6,7,8], steganography [9], and encryption [10], have been developed to protect copyright, and encryption is the mostly accepted approach which can ensure the security and integrity of data all the time. The selective encrypted multimedia data can prevent the abuse of the essential visual property of the original data. ese advantages make selective encryption highly desirable for protecting more and more image and video data which hide a large amount of personal privacy on the network

Methods

Results

Conclusion