A Novel Computational Approach for Embedding Patient Information Retrieved From Biomedical Images

In order to protect intellectual property rights we can apply information hiding techniques in various applications such as broadcast monitoring, tracking, content authentication etc. In recent years various lossless data hiding techniques have been proposed for images. In this research paper, we focus on the water marking technology with respect to medical information, security for the role of Health Care Systems. The objective of this proposed approach is to give high Peak Signal-to-Noise Ratio (PSNR) value for the image and to reduce the noise. This method also highlighting in the telemedicine principle and there will be no segmentation. Only retrieval of information’s without decomposing the image and the PSNR.We involve ourselves in simulating lossless data hiding algorithm for medical images which can embed more data other than the other data hiding schemes. In this research work, we embed the patient data’s especially the Region of Interest (ROI) part and recover the original image. Hence The distant based diagnosis can be done and not going to embed the affected part of the image.In this method the wavelet transform (Integer Wavelet) helps in the embedding and thereby we keep the PSNR value high for the image and resolution can be improved.