A Reversible High-Capacity Data Hide System Based on Powerful MSB Prediction in Encrypted Images
Raghavendra V1, G C Satish2

1Raghavendra V, School of Computing and Information Technology, REVA University, Bengaluru, Karnataka, India.
2Satish G C, Associate Professor, School of Computing and Information Technology, REVA University, Bengaluru, Karnataka, India. 

Manuscript received on April 30, 2020. | Revised Manuscript received on May 06, 2020. | Manuscript published on May 30, 2020. | PP: 1388-1390 | Volume-9 Issue-1, May 2020. | Retrieval Number: A2370059120/2020©BEIESP | DOI: 10.35940/ijrte.A2370.059120
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: For encrypted images (RDHEI) reversible data shielding is an important technique for embedding data into the encrypted domain. A hidden key encrypts an original picture, and additional information may be inserted into the encrypted image during or after transmission without knowing the crypting key or the original contents of the picture. The hidden message can be retrieved during the decoding process and the original image can be restored. RDHEI has begun to generate academic attention over the past couple of years. Data privacy has become a real issue with the growth of cloud computing. None of the current methods, however, will allow us to hide a great deal of information reversibly. In this document we propose a new reversible approach with a very high capacity based on MSB (most important bit) forecasting. We present two approaches: a reversible high-capacity data hiding approach with a prediction-correction error (CPEHCRDH) and an integrated-prediction error (EPE-HCRDH) reversible data hiding approach. With this approach, our findings are better than those achieved with the existing state-of-the-art approaches, both in terms of image quality recovered and embedding efficiency. 
Keywords: CPE-HCRDH (high-capacity Reversible Data Hiding with Correction of Prediction errors). EPE-HCRDH (high-capacity Reversible Data hiding with Embedded Prediction errors).
Scope of the Article: Regression and Prediction