Improved Separable Reversible Data Hiding in Encrypted Image Based on Neighborhood Prediction

摘要

Recently, separable reversible data hiding in encrypted image attracts more and more attention. Data extraction and image decryption are separable in the separable reversible data hiding method in encrypted image, which makes it possible for cloud server to extract the additional data without knowing the original content. In this paper, we focus on the user side and introduced two improved methods based on neighborhood prediction to obtain the good quality decrypted image without data hiding key. Our experiment results prove both the two methods achieve good performance on decrypted image.