151. Digital image watermarking and its optimization using genetic algorithm
- Author
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Nihar Ranjan Roy, Anshul Kanchan Khanna, and Bhupendra Verma
- Subjects
Invisibility ,business.industry ,Computer science ,Digital Watermarking Alliance ,Data_MISCELLANEOUS ,Digital data ,ComputingMilieux_LEGALASPECTSOFCOMPUTING ,020206 networking & telecommunications ,Computational intelligence ,Watermark ,02 engineering and technology ,computer.software_genre ,Automation ,Genetic algorithm ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,Data mining ,business ,computer ,Digital watermarking - Abstract
The use of digital watermarking technique in multimedia applications is evolving day by day. In this digital world copyright protection and claiming ownership on digital data is a big challenge. Watermarking multimedia objects/files is one of the solutions to this problem. Digital watermarking has been fascinating many researchers since last few decades. There is no algorithm that has been accepted universally till date. Various computational intelligence methodologies are also being used in digital watermarking to get the desired requirements of watermarking i.e. invisibility and resistance to various attacks. This paper is an attempt to create an optimal image watermarking scheme for copyright protection that can also resist the common attacks on watermarked image. Genetic algorithm has been employed in the proposed algorithm to find the embedding strength of watermark. Genetic algorithm and specially the parameters associated with it have helped in achieving the desired goals of watermarking.
- Published
- 2016
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