An Enhanced Comparative Techniques for Improving Reversible Data Hidden Images with SMVQ

Abstract

Sharing private information has gotten difficult over the last few years as data security has increased. In a number of industries, including the military, the medical profession, networks, and others, exchanging data involves not only concealing signals in multimedia, but also receiving the data without any distortion at the recipient end. In order to protect against intruders, data hiding is thus established, whereby the sender conceals the crucial data into the media. The content owner encrypts an original image using Reversible data hiding in encrypted images (RDHEI), embeds the hidden image using Arnold transform and Side Match Vector Quantization, and transfers it to the recipient. Using the Inverse Arnold Transform and painting, the recipient obtains the cover picture containing the secret image. To obtain the optimum performance, the key goal is to further enhance the PSNR and better data concealing. With this, prediction errors are compared and further improved, and the two metrics PSNR (dB) and compression ratio can be enhanced in comparison to other state-of-the-art systems.