Reversible Concealment Approach using Gradients and PEE for Gray-Scale Images

The need to secure our data has grown in recent years due to the increasing number of unauthorized individuals attempting to acquire protected information. In this study, we offer a new way to conceal our data—reversible data hiding (RDH). The secret information might be in the shape of an image or words. Furthermore, the concealed image is retrieved error-free as well. We can precisely recover the hidden data and cover image when the receiver needs them, according to the results reported in the study. A new approach to selecting weights based on gradients has been suggested in this method to improve prediction of the original pixel. For more accurate pixel prediction in the cover image, gradients are typically included. Using a PEE (Prediction Error Expansion) approach, the embedding has been executed. Many RDH techniques use the PEE technique, which is a simple embedding strategy. In order to gain a deeper knowledge of the RDH approaches, this proposed work makes effective use of gradients and PEE. In conclusion, the experimental results demonstrate that, compared to other previous works, the proposed work performs better.