Modern communication media requires high level of protection system for securing the multimedia data from hackers. The most important objective of this manuscript is to develop a simple and efficient methodology for protecting the information from hackers. In this paper, the level of image security is improved by integrating the steganography and cryptography techniques in order to produce the secured image. In this manuscript, secured image is produced by applying Dual Tree Complex Wavelet Transform(DT-CWT). Further, cryptography algorithm is applied on the steganography image if the level of information entropy lies beyond the threshold value. Mean Square Error (MSE),Peak Signal to Noise Ratio (PSNR) and Mean Absolute Error (MAE) are the metrics which are used to evaluate the performance of the proposed method in this manuscript. The proposed image security methodology achieves 47.04 dB of PSNR, 165.86 of MSE and 31.66% of MAE on bone image dataset.
Digital Object Identifier (DOI)
Yuvaraja, T. and S. Sabeenian, R.
"Dual Tree Complex Wavelet Transform-based Image Security Using Steganography,"
Applied Mathematics & Information Sciences: Vol. 13
, Article 9.
Available at: https://dc.naturalspublishing.com/amis/vol13/iss2/9