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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, P. Viswanatha Reddy
Reversible data concealing in encrypted images (RDH-EI), Reversible data hiding (RDH), and encryption
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Published in : Volume 4 | Issue 10 | September-October 2018
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
PRINT ISSN : 2395-6011
ONLINE ISSN : 2395-602X
Cite This Article :
B. N. Manjunadha Reddy, P. Viswanatha Reddy, "Unpredictable Information Covering Up in Encoded Pictures Using Interpolation-Based Distributed Space Reservation ", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 4, Issue 10, pp.01-05, September-October-2018.
Journal URL : http://ijsrst.com/IJSRST184933