Medical Image Security Using Watermarking In Back Propagation Neural Network

Abstract

In modern world, medical data became more sensitive where the need of privacy became most prominent. In order to provide the privacy and authentication to the medical data which includes the medical records of a patient digital water marking technique is chosen. The aim of the paper is to authenticate the medical data by digital watermarking technique using neural networks. The host data is processed through 4 level DWT then applied to a back propagation neural network where the secret image is embedded along with different noise attacks. The obtained image is processed through IDWT which is either stored or transmitted. At viewer or receiver side the reverse process is done to extract the secret image from the watermarked image. Compared to existing neural network algorithms back propagation algorithm yields better PSNR values.

Authors and Affiliations

A. N. S. Anusha, Dr. Y. Ratna Kumar

Keywords

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  • EP ID EP22596
  • DOI -
  • Views 256
  • Downloads 4

How To Cite

A. N. S. Anusha, Dr. Y. Ratna Kumar (2016). Medical Image Security Using Watermarking In Back Propagation Neural Network. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 4(9), -. https://europub.co.uk/articles/-A-22596