24 August 2017 Toward privacy-preserving JPEG image retrieval
Author Affiliations +
J. of Electronic Imaging, 26(4), 043022 (2017). doi:10.1117/1.JEI.26.4.043022
This paper proposes a privacy-preserving retrieval scheme for JPEG images based on local variance. Three parties are involved in the scheme: the content owner, the server, and the authorized user. The content owner encrypts JPEG images for privacy protection by jointly using permutation cipher and stream cipher, and then, the encrypted versions are uploaded to the server. With an encrypted query image provided by an authorized user, the server may extract blockwise local variances in different directions without knowing the plaintext content. After that, it can calculate the similarity between the encrypted query image and each encrypted database image by a local variance-based feature comparison mechanism. The authorized user with the encryption key can decrypt the returned encrypted images with plaintext content similar to the query image. The experimental results show that the proposed scheme not only provides effective privacy-preserving retrieval service but also ensures both format compliance and file size preservation for encrypted JPEG images.
© 2017 SPIE and IS&T
Hang Cheng, Jingyue Wang, Meiqing Wang, Shangping Zhong, "Toward privacy-preserving JPEG image retrieval," Journal of Electronic Imaging 26(4), 043022 (24 August 2017). https://doi.org/10.1117/1.JEI.26.4.043022 Submission: Received 5 May 2017; Accepted 3 August 2017
Submission: Received 5 May 2017; Accepted 3 August 2017

Image encryption

Image retrieval

Binary data


Feature extraction

Computer security



Trademark image retrieval
Proceedings of SPIE (September 26 2001)
How to protect biometric templates
Proceedings of SPIE (February 27 2007)
Transform coding of image feature descriptors
Proceedings of SPIE (January 19 2009)
Compressing a set of CHoG features
Proceedings of SPIE (September 24 2011)

Back to Top