ROI Based Steganography Method Using Two Bit LSB Replacement and Entropy Calculation

Authors(2) :-Harjeet Kaur, Dr. Amandeep Singh Sappal

Different challenges in steganography are Imperceptibility, Robustness and Capacity. In this paper, all these points have been considered and a secure steganography method has been proposed to hide secret information. Self-embedding method has been adopted in which secret information has been taken from the Region of interest selected by a cropping tool. As MSB bits contain most of the information, only MSB bits has been embedded and rest of the LSB bits from the same chosen place can be used for embedding mechanism. Also two bit LSB replacement has been used for embedding data which is decided based on entropy information from a set of non-overlapping blocks of the input image. Maximum entropy has been chosen to select that block first which has maximum value among all. Entropy has been calculated only for MSB bits which results in same sorting sequence of blocks at the receiver side as well hence results in extraction of secret information in the same manner as embedding. XOR embedding has been implemented before embedding in order to secure the data. Proposed method has dual embedding capacity as two bit replacement has been used as compared to the existed method.

Authors and Affiliations

Harjeet Kaur
Department of Electronics Engineering, Punjabi University, Patiala, Punjab, India
Dr. Amandeep Singh Sappal
Department of Electronics Engineering, Punjabi University, Patiala, Punjab, India

Imperceptibility, Robustness, Steganography, Embedding, Entropy.

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Publication Details

Published in : Volume 2 | Issue 5 | September-October 2017
Date of Publication : 2017-10-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 61-64
Manuscript Number : CSEIT172511
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Harjeet Kaur, Dr. Amandeep Singh Sappal, "ROI Based Steganography Method Using Two Bit LSB Replacement and Entropy Calculation", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 5, pp.61-64, September-October-2017.
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