Certain Investigations on Reversible Image Watermarking
Biorthogonal Wavelet Transform, Dynamic Prediction Model, Optimal PSO
(Sprache: Englisch)
With the aim to provide higher security and robustness, certain investigations have been done on reversible image watermarking. The scheme proposed in this research work not only outperforms other methods with respect to a variety of attacks, but still...
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With the aim to provide higher security and robustness, certain investigations have been done on reversible image watermarking. The scheme proposed in this research work not only outperforms other methods with respect to a variety of attacks, but still maintains a satisfactory image quality. This research work mainly addresses on privacy, reversibility, payload and robustness related goals. Considering these challenges, three parts of image watermarking techniques, namely Bi-orthogonal Wavelet Transform and Importance Measure Model (BWT & IMM), Dynamic Prediction Error Integrated Reversible Image Watermarking (DPEIRIW) and Multi Wavelet Transform and Oppositional Particle Swarm Optimization (MWT & OPSO) are proposed to improve the data hiding performance. Out of all the multimedia contents such as image, audio and video, any image watermarking algorithm which is lucrative can be extended as video watermarking, hence, image watermarking is intended. With future augmentation in mind, the cover medium chosen is an image.
Autoren-Porträt von Dr Sujatha T, Dr Geetha K
T, Dr SujathaDr.T.Sujatha, having 14 years of teaching and research experience. She has published more than 30 research articles in reputed journals. She is interested to work in the areas of Image Processing and Machine Learning.
Bibliographische Angaben
- Autoren: Dr Sujatha T , Dr Geetha K
- 2020, 228 Seiten, Maße: 22 cm, Kartoniert (TB), Englisch
- Verlag: LAP Lambert Academic Publishing
- ISBN-10: 6203193763
- ISBN-13: 9786203193763
Sprache:
Englisch
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