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Privacy-Preserving Image Denoising from External Cloud Databases
Yifeng Zheng1; Helei Cui1; Cong Wang1; Jiantao Zhou2
2017-01-25
Source PublicationIEEE Transactions on Information Forensics and Security
ISSN1556-6013
Volume12Issue:6Pages:1285-1298
Abstract

Along with the rapid advancement of digital image processing technology, image denoising remains a fundamental task, which aims to recover the original image from its noisy observation. With the explosive growth of images on the Internet, one recent trend is to seek high quality similar patches at cloud image databases and harness rich redundancy therein for promising denoising performance. Despite the well-understood benefits, such a cloud-based denoising paradigm would undesirably raise security and privacy issues, especially for privacy-sensitive image data sets. In this paper, we initiate the first endeavor toward privacy-preserving image denoising from external cloud databases. Our design enables the cloud hosting encrypted databases to provide secure query-based image denoising services. Considering that image denoising intrinsically demands high quality similar image patches, our design builds upon recent advancements on secure similarity search, Yao's garbled circuits, and image denoising operations, where each is used at a different phase of the design for the best performance. We formally analyze the security strengths. Extensive experiments over real-world data sets demonstrate that our design achieves the denoising quality close to the optimal performance in plaintext.

KeywordCloud Computing External Database Image Denoising Privacy Security
DOI10.1109/TIFS.2017.2656824
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS IDWOS:000396081200003
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Cited Times [WOS]:29   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Faculty of Science and Technology
Affiliation1.Department of Computer Science, City University of Hong Kong, Hong Kong, and also with the City University of Hong Kong Shenzhen Research Institute, Shenzhen 518057, China
2.Department of Computer and Information Science, Faculty of Science and Technology, University of Macau, Macau 999078, China
Recommended Citation
GB/T 7714
Yifeng Zheng,Helei Cui,Cong Wang,et al. Privacy-Preserving Image Denoising from External Cloud Databases[J]. IEEE Transactions on Information Forensics and Security,2017,12(6):1285-1298.
APA Yifeng Zheng,Helei Cui,Cong Wang,&Jiantao Zhou.(2017).Privacy-Preserving Image Denoising from External Cloud Databases.IEEE Transactions on Information Forensics and Security,12(6),1285-1298.
MLA Yifeng Zheng,et al."Privacy-Preserving Image Denoising from External Cloud Databases".IEEE Transactions on Information Forensics and Security 12.6(2017):1285-1298.
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