Content-Based Image Retrieval in Homomorphic Encryption Domain

Abstract : In this paper, we propose a secure implementation of a content-based image retrieval (CBIR) method that makes possible diagnosis aid systems to work in externalized environment and with outsourced data as in cloud computing. This one works with homomorphic encrypted images from which it extracts wavelet based image features next used for subsequent image comparison. By doing so, our system allows a physician to retrieve the most similar images to a query image in an outsourced database while preserving data confidentiality. Our Secure CBIR is the first one that proposes to work with global image features extracted from encrypted images and does not induce extra communications in-between the client and the server. Experimental results show it achieves retrieval performance as good as if images were processed non-encrypted.
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https://hal.archives-ouvertes.fr/hal-01243162
Contributor : Bibliothèque Télécom Bretagne <>
Submitted on : Monday, December 14, 2015 - 3:48:53 PM
Last modification on : Thursday, October 17, 2019 - 12:35:31 PM

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Reda Bellafqira, Gouenou Coatrieux, Dalel Bouslimi, Gwénolé Quellec. Content-Based Image Retrieval in Homomorphic Encryption Domain. EMBC 2015 : 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Aug 2015, Milan, Italy. pp.2944 - 2947 ⟨10.1109/EMBC.2015.7319009⟩. ⟨hal-01243162⟩

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