Privacy-Preserving Hough Transform and Line Detection on Encrypted Cloud Images
Delin Chen, Peijia Zheng, Ziyang Chen, Ruopan Lai, Weiqi Luo, Hongmei Liu · 2021 IEEE 20th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) · 2021
Line detection is an important research topic in image processing and computer vision. Hough transform is a widely used technique to detect lines. In the scenario of cloud computing, performing the Hough transform and line detection needs to consider privacy protection issues. In this paper, we propose implementing Hough transform in the encrypted domain and its application to line detection on encrypted images. Using the proposed encrypted domain Hough transform, we detect the extreme points in the encrypted parameter space. After transforming the extreme point into the encrypted spatial domain, we obtain the detected lines on the encrypted image. We conducted experiments and demonstrated the viability and effectiveness of our secure Hough transform and line detection on encrypted images.