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Digital Image Watermarking Performance Improvement Using Bio-Inspired Algorithms

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Advances in Soft Computing and Machine Learning in Image Processing

Part of the book series: Studies in Computational Intelligence ((SCI,volume 730))

Abstract

Copyrights protection and ownership of multimedia is a vital task nowadays used in a lot of fields such as broadcasting media. Hence digital media watermarking techniques were developed to embed a watermark image into the original media (image or videos). The watermarking techniques aim to improve the robustness of watermarked image against attacks and increase the impeccability of significant regions of the media. This chapter focuses on explaining the rule of using metaheuristic algorithms for optimizing the robustness and impeccability of image watermarking techniques. This will be discussed through two watermarking techniques one used genetic algorithm optimization and the other use cuckoo search optimization approach.

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Author information

Authors and Affiliations

  1. Faculty of Engineering, Computer and Systems Department, member at Scientific Research Group in Egypt (SRGE), Zagazig University, Zagazig, Egypt

    Mohamed Issa

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  1. Mohamed Issa
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Correspondence to Mohamed Issa .

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Editors and Affiliations

  1. Faculty of Computers and Information, Information Technology Department, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  2. CUCEI, Departamento de Ciencias Computacionales, Universidad de Guadalajara, Guadalajara, Mexico

    Diego Alberto Oliva

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Issa, M. (2018). Digital Image Watermarking Performance Improvement Using Bio-Inspired Algorithms. In: Hassanien, A., Oliva, D. (eds) Advances in Soft Computing and Machine Learning in Image Processing. Studies in Computational Intelligence, vol 730. Springer, Cham. https://doi.org/10.1007/978-3-319-63754-9_30

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  • DOI: https://doi.org/10.1007/978-3-319-63754-9_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-63753-2

  • Online ISBN: 978-3-319-63754-9

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