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Reseach Article

Quality Measure for Information Hiding in Medical Images

by C Nagaraju, S S Partha Sarathy
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 65 - Number 11
Year of Publication: 2013
Authors: C Nagaraju, S S Partha Sarathy
10.5120/10967-6099

C Nagaraju, S S Partha Sarathy . Quality Measure for Information Hiding in Medical Images. International Journal of Computer Applications. 65, 11 ( March 2013), 11-14. DOI=10.5120/10967-6099

@article{ 10.5120/10967-6099,
author = { C Nagaraju, S S Partha Sarathy },
title = { Quality Measure for Information Hiding in Medical Images },
journal = { International Journal of Computer Applications },
issue_date = { March 2013 },
volume = { 65 },
number = { 11 },
month = { March },
year = { 2013 },
issn = { 0975-8887 },
pages = { 11-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume65/number11/10967-6099/ },
doi = { 10.5120/10967-6099 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:18:34.584559+05:30
%A C Nagaraju
%A S S Partha Sarathy
%T Quality Measure for Information Hiding in Medical Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 65
%N 11
%P 11-14
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The present paper proposes a new information interleaving process in which patient text information is embedded in his own medical image. Eleven attributes of patient are embedded inside the same patient medical images considering Magnetic Resonance Image, Angiogram and Computerized Tomography image of that patient body. Authors confirm that this new technique definitely relieve from over burden of storing and transmission of patient information and his scanned images separately. Authors also conclude that this technique provides fool proof security during transmission. The reliability of present technique is measured through statistical parameters such as Normalized Root Mean Square Error, Signal to Noise Ratio, Background Variance and Detailed Variance. Statistical parameters strongly indicate that the present technique to embed the patient information does not degrade the image quality. Authors found that this technique is the robust, efficient technique as observed in results and discussion of section 3.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Interleaving Medical Image Normalized Root Mean Square Error (NRMSE) Patient information Signal to Noise Ratio (SNR)