A novel privacy-preserving outsourcing computation scheme for Canny edge detection
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software
Link
https://link.springer.com/content/pdf/10.1007/s00371-021-02307-y.pdf
Reference44 articles.
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3. Hsu, C.Y., Lu, C.S., Pei, S.C.: Image feature extraction in encrypted domain with privacy-preserving SIFT. IEEE Trans. Image Process. 21(11), 4593–4607 (2012)
4. Qin, Z., Yan, J., Ren, K., Chen, C.W., Wang C.: Towards efficient privacy-preserving image feature extraction in cloud computing. In: Proc. ACM Conf. Multimedia, ACM, pp. 497–506 (2014)
5. Wang, Q., Hu, S., Ren, K., Wang, J., Wang Z., Du, M.: Catch me in the dark: effective privacy-preserving outsourcing of feature extractions over image data. In: Proc. INFOCOM, IEEE, pp. 1–9 (2016)
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