Analytical Study and Performance Evaluation of Medical Image Watermarking Techniques

Amit Kumar Singh,Basant Kumar,Ghanshyam Singh,Anand Mohan

doi:10.1007/978-3-319-57699-2_3

Analytical Study and Performance Evaluation of Medical Image Watermarking Techniques

Amit Kumar Singh, Basant Kumar + Show 2 more

https://doi.org/10.1007/978-3-319-57699-2_3

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Publication Date: Jan 1, 2017

Citations: 1

Affiliation: Jaypee University of Information Technology, Motilal Nehru National Institute of Technology, Indian Institute of Technology BHU, Banaras Hindu University

#Peak Signal To Noise Ratio #Weighted Peak Signal-to-noise Ratio + Show 8 more

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Abstract

This chapter presents the important techniques of watermarking in spatial and transform domains along with major performance parameters such as peak signal to noise ratio (PSNR), weighted peak signal-to-noise ratio (WPSNR), mean square error (MSE), universal image quality index, structural similarity index measure (SSIM), normalized correlation (NC), noise visibility function (NVF) and bit error rate (BER) of the watermark algorithm. An important aspect of any watermarking algorithm is its robustness against attacks. Recently, some standard benchmark tools are available to determine the robustness of watermarking algorithm. Further, the chapter introduces an overview of different types of attacks and benchmark tools for medical image watermarking.

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