Biomedical Research

All submissions of the EM system will be redirected to Online Manuscript Submission System. Authors are requested to submit articles directly to Online Manuscript Submission System of respective journal.

Research Article - Biomedical Research (2017) Volume 28, Issue 22

An adaptive row-column least significant bit inlay approach for image steganography

In a life time, a person visits several hospitals to undergo medical examination for various health issues. When new health issues occur, a record of recent medical reports is necessary for diagnosis. Therefore it is crucial to exchange patient’s diagnostic information between the hospitals securely. To transmit such information securely in deceptive environment the effective way is encrypting and hiding it over patient digital photographic image and medical image. Among the various hiding techniques the most widely used technique for medical images is the Least Significant Bit (LSB) substitution technique. Many LSB substitution techniques were developed to enhance both security and image quality of stego-medical images. However, existing approaches were failed to maintain the quality of original images. To overcome this problem we proposed an Adaptive Row-Column (ARC) approach for LSB substitution technique that minimize mean square error (MSE) values and maximize the Peak Signal to Noise Ratio (PSNR) to get both enhanced security and image quality. To further enhance the security and image quality of stego-medical images ARC algorithm is extended to embed both original and inverted cipher text (ARC-OI).

Author(s): Kommi Sai Siva Satwik, Manikandan C, Elamaran V, Narasimhan K, Raju N

Abstract Full Text PDF

Get the App

best replica reviews