Enhancing the Security and Quality Image Steganography using Hiding Algorithm based on Minimizing the Distortion

Enhancing the Security and Quality Image Steganography using Hiding Algorithm based on Minimizing the Distortion

V R Sasikumar

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Capt. Dr S Santhosh Baboo

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α Manonmaniam Sundaranar University

Enhancing the Security and Quality Image Steganography using Hiding Algorithm based on Minimizing the Distortion

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Abstract

In this paper, highest state-of-the-art binary image Steganographic approach considers the spinning misinterpretation according to the personal visual structure, which will be not secure when they are attacked by Steganalyzers. In this paper, a binary image Steganographic scheme that aims to reduce the hiding misinterpretation on the balance is presented. We excerpt the complement, turn, and following-invariant local balance arrangement from the binary image first. The weighted sum of Complement, Turn, And Following-Invariant Local Balance changes when spinning one pixel is then employed to allot the spinning misinterpretation corresponding to that pixel. By examining on both simple binary images and the composed image constructed message set, we show that the advanced appraisal can well describe the misinterpretations on both visual aspect and statistics. Based on the proposed measurement, a practical Steganographic scheme is developed.

References

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

V R Sasikumar. 2016. \u201cEnhancing the Security and Quality Image Steganography using Hiding Algorithm based on Minimizing the Distortion\u201d. Global Journal of Computer Science and Technology - H: Information & Technology GJCST-H Volume 15 (GJCST Volume 15 Issue H6): .

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GJCST Volume 15 Issue H6
Pg. 1- 9

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Classification

H.2.8, I.3.3

Submission ReceivedDecember 7, 2014
Peer Review Double Blind
Handling Editor
Accepted January 1, 2015
Published January 15, 2015

Version of record

v1.2

Issue date

January 17, 2016

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Article Matrices

Total Score: 102

Country: India

Subject: Global Journal of Computer Science and Technology - H: Information & Technology

Authors: V R Sasikumar, Capt. Dr S Santhosh Baboo (PhD/Dr. count: 0)

View Count (all-time): 266

Total Views (Real + Logic): 7758

Total Downloads (simulated): 2083

Publish Date: 2016 01, Sun

Monthly Totals (Real + Logic):

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Total Views: 7758

Total Downloads: 2083

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