A robust algorithm of encrypted medical volume data retrieval based on 3D DWT and 3D DFT
Shuangshuang Wang, Jingbing Li, Chunyan Zhang, Jintao Liang, Zhaohui Wang · 2017
Image retrieval technology allows doctors to query diagnosed images which are similar to the current diagnostic image from large medical image library, and then doctors develop accurate treatment programs and reasonable clinical diagnosis. However, medical image data may be leaked and tampered with during the transmission of the Internet, resulting in data security issues. Therefore, this paper proposes a robust algorithm for encrypted medical volume data retrieval based on DWT (Discrete Wavelet Transform) and DFT (Discrete Fourier Transform). Firstly, we encrypt medical volume data. Secondly, we extract the DWT-DFT coefficients as encrypted medical images' feature vector and establish features vector database. Then, we compute the NC (The Normalized Cross-correlation) value between the feature vector of query medical volume data and each one in the features vector database. Next, automatically return the retrieved medical image. Finally, we decrypt returned medical image that we retrieved. Experimental results demonstrate that the algorithm has strong robustness against common attacks and geometric attacks.