CryptoImg: Privacy Preserving Processing Over Encrypted Images

Abstract

Cloud computing services provide a scalable solution for the storage and processing of images and multimedia files. However, concerns about privacy risks prevent users from sharing their personal images with third-party services. In this paper, we describe the design and implementation of CryptoImg, an open source library (Source at https://github.com/TarekIbnZiad/CryptoImg) of modular privacy preserving image processing operations over encrypted images. By using homomorphic encryption, CryptoImg allows the users to delegate their image processing operations to remote servers without any privacy concerns. Currently, CryptoImg supports a subset of the most frequently used image processing operations such as image adjustment, spatial filtering, edge sharpening, histogram equalization and others. We implemented our library as an extension to the popular computer vision library OpenCV. CryptoImg can be used from either mobile or desktop clients. Our experimental results demonstrate that CryptoImg is efficient while performing operations over encrypted images with negligible error and reasonable time overheads on the supported platforms