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A Privacy-Preserving Image Retrieval Scheme Based on 16×16 DCT and Deep Learning | IEEE Journals & Magazine | IEEE Xplore
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A Privacy-Preserving Image Retrieval Scheme Based on 16×16 DCT and Deep Learning


Abstract:

In recent years, people tend to upload images to cloud servers, which provide storage and retrieval functions. To prevent users’ privacy from leaking to the server, resea...Show More

Abstract:

In recent years, people tend to upload images to cloud servers, which provide storage and retrieval functions. To prevent users’ privacy from leaking to the server, research on cipher-image retrieval has attracted much attention. This work presents a novel encrypted image retrieval method. With this scheme, we perform encryption during the JPEG compression process by applying 16×16 DCT (Discrete Cosine Transform) for blocks’ transformation, followed by coefficients distribution and 8×8 blocks’ permutation. For the retrieval part, when an encrypted query image is sent by an authorized user, the server extracts its DCT histograms as features and inputs them into our trained network model, which incorporates transpose Multilayer perceptron modules (Transpose MLP), for retrieval. Experimental results show that our scheme, compared with related schemes, can improve the retrieval performance significantly, when ensuring compression friendliness and no feature information leakage. Moreover, our scheme enables cipher-image retrieval from multiple image owners.
Published in: IEEE Transactions on Cloud Computing ( Volume: 11, Issue: 3, 01 July-Sept. 2023)
Page(s): 3314 - 3325
Date of Publication: 14 June 2023

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