Title
Image Identification Of Encrypted Jpeg Images For Privacy-Preserving Photo Sharing Services
Abstract
We propose an image identification scheme for double-compressed encrypted JPEG images that aims to identify encrypted JPEG images that are generated from an original JPEG image. To store images without any visual sensitive information on photo sharing services, encrypted JPEG images are generated by using a block-scrambling-based encryption method that has been proposed for Encryption-then-Compression systems with JPEG compression. In addition, feature vectors robust against JPEG compression are extracted from encrypted JPEG images. The use of the image encryption and feature vectors allows us to identify encrypted images recompressed multiple times. Moreover, the proposed scheme is designed to identify images re-encrypted with different keys. The results of a simulation show that the identification performance of the scheme is high even when images are recompressed and re-encrypted.
Year
DOI
Venue
2020
10.1587/transinf.2019MUP0006
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
Keywords
Field
DocType
image identification, JPEG, Encryption-then-Compression system, privacy-preserving
Image identification,Computer vision,Pattern recognition,Computer science,Encryption,JPEG,Artificial intelligence
Journal
Volume
Issue
ISSN
E103D
1
1745-1361
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Kenta Iida122.42
Hitoshi Kiya2616113.80