Editors Choice – LWT-DCT based Image Watermarking Scheme using Normalized SVD

Author(s):Rahul DixitAmita Nandal*Arvind DhakaVardan Agarwal and Yohan Varghese Kuriakose

Volume 14, Issue 9, 2021

Published on: 21 August, 2020

Page: [2976 – 2991]

Pages: 16

DOI: 10.2174/2666255813999200821161656

Abstract

Background: Nowadays, information security is one of the most significant issues of social networks. The multimedia data can be tampered with, and the attackers can then claim its ownership. Image watermarking is a technique that is used for copyright protection and authentication of multimedia.

Objective: We aim to create a new and more robust image watermarking technique to prevent illegal copying, editing and distribution of media.

Method: The watermarking technique proposed in this paper is non-blind and employs Lifting Wavelet Transform on the cover image to decompose the image into four coefficient matrices. Then Discrete Cosine Transform is applied which separates a selected coefficient matrix into different frequencies and later Singular Value Decomposition is applied. Singular Value Decomposition is also applied to the watermarking image and it is added to the singular matrix of the cover image, which is then normalized, followed by the inverse Singular Value Decomposition, inverse Discrete Cosine Transform and inverse Lifting Wavelet Transform respectively to obtain an embedded image. Normalization is proposed as an alternative to the traditional scaling factor.

Results: Our technique is tested against attacks like rotation, resizing, cropping, noise addition and filtering. The performance comparison is evaluated based on Peak Signal to Noise Ratio, Structural Similarity Index Measure, and Normalized Cross-Correlation.

Conclusion: The experimental results prove that the proposed method performs better than other state-of-the-art techniques and can be used to protect multimedia ownership. Read now: https://bit.ly/3oXsXyq

Author: Bentham Science Publishers

A major STM journal publisher of more than 100 online and print journals and related print/online book series, Bentham Science answers the information needs of scientists in the fields of pharmaceutical, biomedical, medical, engineering, technology, computer and social sciences.

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