Data-hiding technology performs an important role in fields of image such as copyright identification and annotation. Methods of data hiding that have been used in the previous article result in persistent visual distortion. Each pixel of an image is critical in the legal, medical, and military domains, and image distortion is intolerable. Reversible DataHiding (RDH) approach has sparked attention as a result. Data may be hidden using RDH algorithms, and the original images may be retrieved without instigating any damage. Early RDH approaches were unable to deliver satisfactory results. Consequently, for secure data image transfer, the article suggested the High-Capacity Reversible Data Hiding in Encrypted Images (RDH-EI) approach. The main idea underlying RDH-EI is that a cover image is converted into unreadable format and then concealed information is hided in the encrypted image using a data hider. The inserted data from the hidden image may be recovered using the information hiding key, and the encryption key may be used to rebuild the original image. The original image was pre-processed by the content owner to free up hiding space in the RRBE scheme, following which the image will be encrypted and transferred to the data hider. Initially, to offer authenticity and integrity, Elliptic Curve Cryptography (ECC) is proposed to encrypt, decrypt, and authenticate the cipher image. The encrypted images are then sent on to the data hiding step. A considerable amount of data is employed to embed in the image encryption domain in data hiding. Subsequently, a Multi-MSB (Most Significant Bit) data hiding scheme was developed to increase capacity. With encryption quality, the suggested approach achieves an embedding capacity of more than 1 bpp (bits per pixel). The additional data may be taken from the indicated encrypted image after the decoding process, finally restoring the original image. The experiment was carried out in MATLAB software using a built-in function. The efficacy of the stego image may be tested using typical Peak Signal to Noise Ratio (PSNR) methods to gauge image quality. The suggested approach can achieve huge embedding capacity, excellent security, and image quality, according to the experimental findings. The findings reveal that the suggested method outperforms conventional RDH strategies in terms of embedding performance. This demonstrates that the suggested scheme's embedding rate is 3.6 bpp respectively, which ensures the security of the hidden data.

Reversible Data Hiding, Image Encryption, Elliptic Curve Cryptography, Multi MSB Prediction, Image Security, Hiding Capacity, Location Map