Manuscript Number : IJSRST184933
Unpredictable Information Covering Up in Encoded Pictures Using Interpolation-Based Distributed Space Reservation
Authors(2) :-B. N. Manjunadha Reddy, P. Viswanatha Reddy Reversible data hiding (RDH) in encrypted pictures has earned additional attention recently in analysis community. Privacy protection of extra data yet as cover media makes it attractive for applications in medical imaging, cloud storage, forensics etc. during this paper, a brand new method for reversible data concealing in encrypted images (RDH-EI), is proposed. Our method adopts the approach of reserving sufficient space for the additional data before encrypting the duvet image. First we identify appropriate blocks for concealing data from numerous elements of the image. Before encrypting the image, one or additional LSB-planes of these blocks are backed-up into remaining elements of the image using a high-performing ancient RDH methodology that works on unencrypted pictures. Once encrypting the image, those LSB planes are accustomed hide extra knowledge. Recovery of original cover image and error-free extraction of extra knowledge is guaranteed perpetually. Moreover, the projected methodology is straightforward and intuitive. By experimentation results show that our methodology outperforms the progressive ways for reversible knowledge hiding in encrypted images.
B. N. Manjunadha Reddy Reversible data concealing in encrypted images (RDH-EI), Reversible data hiding (RDH), and encryption Publication Details
Published in : Volume 4 | Issue 10 | September-October 2018 Article Preview
Student, Department of Computer Science and Engineering, Sir Vishveshwaraiah Institute of Science & Technology, Madanapalle, India
P. Viswanatha Reddy
Assistant Professor, Department of Computer Science and Engineering, Sir Vishveshwaraiah Institute of Science & Technology, Madanapalle, India
Date of Publication : 2018-09-30
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 01-05
Manuscript Number : IJSRST184933
Publisher : Technoscience Academy
Journal URL : https://ijsrst.com/IJSRST184933
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