Medical Image Multiple Watermarking Scheme Based on Integer Wavelet Transform and Extraction Using ICA

Abstract

In this paper, a medical image multiple watermarking technique rely on integer wavelet transform is proposed. Medical image watermarking is a unique division of image watermarking in the intellect that images have particular necessities. Watermarked medical images should not diverge relating to their creative complement because clinical interpretation of images should not be pretentious. Watermarking methods rely on discrete wavelet transform (DWT) are described in numerous writings excluding forcefulness and defense by means of integer wavelet transform is enhanced while equate to DWT. The important confront in traverse angles in images arrives from the discrete environment of the information. In this paper, input image is scaled to two level by means of integer wavelet transform and the two watermarks are embedded in the ensuing coefficients. To extract the watermark, Pearson ICA is applied and it has a novel feature, it does not necessitate the alteration procedure to extract the watermark. Simulation results illustrate that proposed method is robust against attacks such as Gaussian noise, Salt and Pepper noise, rotation and translation. PSNR, Similarity measure and Normalized correlation are the performance measures applied to evaluate and it is compared with Wavelet Packet Transform (WPT). Simulations are conceded in using Matlab.