Selective Context-Based Estimation and PEE for High-Fidelity Images

An increasing number of criminals are trying to get their hands on sensitive information, which has increased the urgency with which we must secure our data. Reversible data hiding (RDH) is a novel approach to data concealment that we provide in this research. The coded data can take the form of text or an image. In addition, the hidden image is also successfully retrieved without any mistakes. Based on the study's findings, we can accurately retrieve the secret data and cover image at the exact moment the receiver requires them. In order to enhance the prediction of the original pixel, this method proposes a new way to choose weights based on Selected Context. Incorporating selective Context into the cover image allows for more precise pixel prediction. The embedding has been carried out using a PEE technique. A simple embedding strategy, the PEE technique is used by several RDH systems. This proposed study makes good use of selected Context and PEE to learn more about the RDH techniques. To sum up, the experimental results show that the suggested approach outperforms other earlier efforts.