基于空间滤波的LBP特征和彩色直方图的加密域图像检索

With the rapid development of cloud computing，more and more privacy data are stored and processed in the cloud. In order to protect privacy data, encryption usually needs to be implemented before data processing. However, in the traditional signal processing, encrypted signal can not be processed and pose challenges to traditional image retrieval services based on plaintext search. In order to preserve data privacy of query image and image database, this paper proposes an effective encrypted image retrieval algorithm. Texture features and color features are extracted using LBP based on high-low pass filter and color histogram based on HSV color space respectively. These two features are encrypted by an asymmetric scalar-preserving encryption method and outsourced to cloud server, which allows an authorized user to securely search over it with a corresponding valid encrypted feature and retrieve images of interest. Experimental results show that the proposed method can obtain very good retrieval performance while ensuring privacy of query and image database.