Watermarking Using Bit Plane Complexity Segmentation and Artificial Neural Network

Journal Title: International Journal of Scientific Research and Management - Year 2017, Vol 5, Issue 6

Abstract

Digital Watermarking is th e act of hiding a message related to an image within the image itself. Watermarking has many desirable properties like effectiveness, image fidelity and robustness. Multilayer artificial neural network is used to achieve image compression. The input pixels are used as target values and the hidden layer output is the compressed image. Our proposed technique uses an image as the vessel data and embeds secret information in the noise - like region of the bit - planes and watermark in the informative region of the bit - planes of the vessel image without deteriorating image quality. The secret image is first compressed by artificial neural network and then embedded in the vessel image. This technique makes use of the characteristic s of the human vision system w here a human eye cannot perceive any change in the information in a very complicated binary pattern.

Authors and Affiliations

Rashmeet Kaur Chawla

Keywords

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  • EP ID EP313128
  • DOI -
  • Views 67
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How To Cite

Rashmeet Kaur Chawla (2017). Watermarking Using Bit Plane Complexity Segmentation and Artificial Neural Network. International Journal of Scientific Research and Management, 5(6), -. https://europub.co.uk/articles/-A-313128