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Optimizations using the genetic algorithm for reversible watermarking
Author(s)
Panyindee, Chaiyaporn
Date Issued
September 2, 2013
Type
Conference Paper
Abstract
Important requirements for reversible data hiding techniques: the embedding capacity should be large and distortion should be low. This paper represents a high performance reversible watermarking technique which involves adaptable predictor and sorting parameter to suit each image and each payload in order get lowest image distortion. Our proposed method relies on a well-known prediction error (PE) expansion technique. Having small PE values and a harmonious PE sorting parameter will greatly decrease distortion. In order to get adaptable tools, Gaussian weight predictor and expanded variance mean were used as parameters in this work. A genetic algorithm has also been introduced to optimize all parameters and produce the best results possible. Implementation showed a significantly improved result compared to previous work. © 2013 IEEE.
Citation
2013 10th International Conference on Electrical Engineering Electronics Computer Telecommunications and Information Technology Ecti Con 2013, 2013