Abstract
Reversible data hiding (RDH) together with sorting is one of the key goals for reducing image distortion. This paper presents an improvement in sorting based on the double-layered RDH algorithm by modifying the dynamic variance mean (DVM) sorting models and applying an effective predictor. Seven models are investigated to achieve suitable sorting with the best prediction error (PE) for each capacity and image. The fitting weight rhombus (FWR) predictor and two-pass testing (TPT) strategy are significantly utilized to achieve small PEs and reduce distortion. The performance of the proposed RDH algorithm is compared with other similar methods using eight different images. Experiment results demonstrate that the sorting performance of the proposed method is superior to those of the previous methods.
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