Reversible watermarking using Gaussian weight prediction and genetic algorithm

Simple item page
dc.contributor.authorPanyindee, Chaiyaporn
dc.contributor.authorPintavirooj, Chuchart
dc.date.accessioned2026-08-06T10:06:12Z
dc.date.available2026-08-06T10:06:12Z
dc.date.issued2013-01-01
dc.description.abstractThis paper represents a high performance reversible watermarking technique which involve 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.
dc.identifier.citationLecture Notes in Engineering and Computer Science, 2202, 457-461, 2013
dc.identifier.issn20780958
dc.identifier.other2-s2.0-84880070443
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/4744
dc.sourceLecture Notes in Engineering and Computer Science
dc.subjectExpanded variance mean
dc.subjectGaussian weight predictor
dc.subjectGenetic algorithm
dc.subjectPrediction error (PE)
dc.titleReversible watermarking using Gaussian weight prediction and genetic algorithm
dc.typeConference Paper

Files

Collections

Research