A Reversible Approach for Hiding Data in Digital Media using Gray-Scale Images

Inevitably, Secret data is communicated through digital media using traditional data-concealing techniques. The known approaches like data hiding in the literature cannot restore the original media. Only the Reversible Data Hiding (RDH) method allows for the simultaneous recovery of the original storage media and the concealed information. In cases where the original media must be preserved, RDH can be employed. As a result, RDH is employed in numerous contexts where the original medium is required alongside the concealed information. To conceal sensitive information in an initial image pixel, Difference Expansion (DE) based RDH analyzes the difference between surrounding pixels. The secret information in the HbS-based technique is inserted into the histogram’s peak and zero bins. To embed the secret data into the original medium, the prediction error (PE) is enlarged in the PEE-based approach. RDH’s primary goal is to insert additional data with little loss of quality. In this study, we first investigate three methods for hiding information within the primary cover image and then retrieving it. Later, we’ll look at how the PSNR of these three systems compares to one another. Finally, the research has drawn a conclusion based on the three methods for incorporating data with minimal loss of quality.