Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{146415,
        author = {Pruthvi P R and Rajath A N and Shruthi B M},
        title = {Private Images Privacy-preserving Image Processing in the Cloud},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {4},
        number = {12},
        pages = {764-769},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=146415},
        abstract = {Millions of private images are generated in various digital devices every day. The consequent massive computational workload makes people turn to cloud computing platforms for their economical computation resources. Meanwhile, the privacy concerns over the sensitive information contained in outsourced image data arise in public. In fact, once uploaded to the cloud, the security and privacy of the image content can only presume upon the reliability of the cloud service providers. Lack of assuring security and privacy guarantees becomes the main barrier to further deployment of cloud-based image processing systems. This paper studies the design targets and technical challenges lie in constructing cloud-based privacy-preserving image processing system. We explore various image processing tasks, including image feature detection, digital watermarking, and content-based image search. The state-of-the-art techniques, including secure multiparty computation and homomorphism encryption are investigated. A detailed taxonomy of the problem statement and the corresponding solutions is provided.},
        keywords = {cloud computing, image processing, privacy-preserving, feature detection, and digital watermarking, homomorphism encryption},
        month = {},
        }