An encrypted medical image retrieval algorithm based on DWT-DCT frequency domain

Abstract

More and more medical institutions have a large number of medical images stored in the third platform for saving cost in maintenance and storage. Cloud storage security issues arise from its characteristic of data outsourcing and service leasing. When users upload their data to the cloud computing platform, they lose direct control of these data, so users worry that their personal privacy information will be leaked and misused. In order to protect the user's personal privacy, before uploading medical images to the server, the image needs to be encrypted. But CBIR technology can't apply in cipher-text domain. In this paper, we propose an encrypted medical image retrieval algorithm based on DWT-DCT. Firstly, the medical image is encrypted in the frequency domain and the feature vector is extracted. Then, the encrypted medical image and the eigenvector are uploaded to the encrypted medical image database and the eigenvector database respectively. The normalized correlation coefficient (NC) is used to represent the Similarity of two encryption medical image. From the experimental results, we can get a conclusion that this algorithm has good robustness to against conventional attacks and geometric attacks.