Improving the Image Encryption-Then-Compression System via Prediction Error Cluster and Random Transformation

Abstract

In many practical scenarios, image encryption has to be conducted prior to image compression. This has led to the problem of how to design a pair of image encryption and compression algorithms such that compressing the encrypted images can still be efficiently performed. In this project, design a highly efficient image encryption-then-compression (ETC) system, where both lossless and lossy compression are considered. Image encryption scheme operated over the prediction error domain. In gradient adaptive prediction (GAP) is adopted due to its excellent de-correlation capability.
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