Entropy based cost function for wavelet based medical image steganography
Sanjay I. Nipanikar, Hima Deepthi Vankayalapati · 2017
Security is the rising concern in this technical revolution that is looming the researchers towards new contribution. The major contribution is the development of the steganography that provides security to the secret messages through hiding them in the cover media, which is the image, video, or an audio. Image steganography uses image as a cover media to carry the secret message with a high degree of security. This paper proposes a method of hiding the text message in the image for which a Discrete Wavelet Transform (DWT) is employed with the cost function that locates a position to undergo embedding. The cost function uses entropy, intensity, and the edge of the image to calculate the position of embedding. Experimentation has been done with the MRI brain image as a cover image and the performance analysis in terms of PSNR and Correlation gets evaluated. The comparison of the experimental results of the DB1wavelet with cost function, Haar wavelet, Haar wavelet with cost function, and DB1 wavelet prove that the Haar wavelet with cost function achieves a better PSNR of 43.5200db and a correlation of 96% when compared with the other methods.