Open AccessMean Square Error Optimization to Authenticate Multi-Modality Medical Images in Wavelet Domain
Author(s) -
S. Jayanthi,
K. Sridevi
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i3.27.17890
Subject(s) - digital watermarking , rounding , watermark , robustness (evolution) , computer science , discrete wavelet transform , artificial intelligence , mean squared error , pixel , domain (mathematical analysis) , image (mathematics) , wavelet , computer vision , frequency domain , algorithm , wavelet transform , pattern recognition (psychology) , mathematics , statistics , mathematical analysis , biochemistry , chemistry , gene , operating system
Medical image watermarking which hides patient’s information in the medical image ensures its imperceptibility and at the same time provides robustness to the information that is embedded. Current research scenario embeds the authenticated message as watermark in the frequency domain to get watermarked image which has most of its values as real numbers. Since pixel intensity values must be represented as integers, the watermarked image is converted into spatial domain where the rounding error problem occurs and the embedded message cannot be extracted to prove its authenticity. In proposed work, a new watermarking scheme in Discrete Wavelet Transform (DWT) domain based on Genetic Algorithm (GA) is implemented to ensure correct retrieval of embedded watermark by optimizing Mean Square Error (MSE) measure.