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2020 | OriginalPaper | Chapter

Image Watermarking Scheme Using Cuckoo Search Algorithm

Authors : Gaurav Dubey, Charu Agarwal, Santosh Kumar, Harivansh Pratap Singh

Published in: Advances in Data and Information Sciences

Publisher: Springer Singapore

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Abstract

The work presented in this paper proposes a robust and optimized algorithm to be used in image watermarking. It makes use of cuckoo search algorithm (CSA) for optimization. A binary watermark is embedded within the host images in transform domain using a fitness function. The locations used for inserting the watermark bits are selected using CSA. The fitness function is a linear summation of similarity correlation coefficients SIM(W, Wʹ) obtained for four different operations performed on the watermarked image. The simulation reports indicate that the PSNR values are high enough. As a result, the watermarked images have high visual quality. The values of similarity correlation coefficient show that the scheme presented in this paper is also robust against the said operations. It can be concluded that this CSA-based scheme shows good result and also reports better results than other similar works.

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Metadata
Title
Image Watermarking Scheme Using Cuckoo Search Algorithm
Authors
Gaurav Dubey
Charu Agarwal
Santosh Kumar
Harivansh Pratap Singh
Copyright Year
2020
Publisher
Springer Singapore
Book
Advances in Data and Information Sciences

Print ISBN: 978-981-15-0693-2

Electronic ISBN: 978-981-15-0694-9

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-981-15-0694-9_61