NDLI: DWT and SVD-Based Robust Watermarking Using Differential Evolution with Adaptive Optimization

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DWT and SVD-Based Robust Watermarking Using Differential Evolution with Adaptive Optimization

Content Provider	Scilit
Author	Kamlakar, Meenal Gosavi, Chhaya Salunkhe, Vaidehee Bagul, Priyanka Keskar, Aishwarya Barge, Shweta
Copyright Year	2021
Description	Digital technologies have been rapidly developing and low copy-cost and convenient temper make a huge impact. Digital watermarking plays a crucial role in copyright protection, even in IoT applications. It provides a good solution for copyright problems and content authentication to achieve data integrity. The objective behind this chapter is to obtain optimal, robust, and invisible image watermarking using differential evolution. A good watermark is robust against attacks, is invisible, and carries a good amount of information related to the owner. This chapter presents a digital watermarking algorithm that makes use of differential evolution along with adaptive optimization for choosing the most suitable scaling factors. It can be inferred from the results after experimentation that the proposed algorithm performs well with respect to invisibility and robustness. Book Name: Cyber-Physical, IoT, and Autonomous Systems in Industry 4.0
Related Links	https://api.taylorfrancis.com/content/chapters/edit/download?identifierName=doi&identifierValue=10.1201/9781003146711-19&type=chapterpdf
Ending Page	310
Page Count	14
Starting Page	297
DOI	10.1201/9781003146711-19
Language	English
Publisher	Informa UK Limited
Publisher Date	2021-11-04
Access Restriction	Open
Subject Keyword	Book Name: Cyber-physical, Iot, and Autonomous Systems in Industry 4.0 Optimal Watermarking Robust Adaptive Optimization Differential Evolution with Adaptive
Content Type	Text
Resource Type	Chapter

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