Optimizations using the genetic algorithm for reversible watermarking

Simple item page
dc.contributor.authorPanyindee, Chaiyaporn
dc.contributor.authorPintavirooj, Chuchart
dc.date.accessioned2026-08-06T10:07:12Z
dc.date.available2026-08-06T10:07:12Z
dc.date.issued2013-09-02
dc.description.abstractImportant 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.
dc.identifier.citation2013 10th International Conference on Electrical Engineering Electronics Computer Telecommunications and Information Technology Ecti Con 2013, 2013
dc.identifier.doi10.1109/ECTICon.2013.6559504
dc.identifier.other2-s2.0-84883073160
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/5029
dc.source2013 10th International Conference on Electrical Engineering Electronics Computer Telecommunications and Information Technology Ecti Con 2013
dc.subjectexpanded variance mean
dc.subjectGaussian weight predictor
dc.subjectgenetic algorithm
dc.subjectPrediction error (PE)
dc.titleOptimizations using the genetic algorithm for reversible watermarking
dc.typeConference Paper

Files

Collections

Research