An adaptive pixel value ordering based reversiblewatermarking scheme for image authentication

Protecting information within communication systems is quite important since a digital content may be manipulated by unauthorized people during transmission. Image watermarking is a hiding information technique that has been thoroughly investigated by the cybersecurity community in recent years. A t...

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Detalles Bibliográficos
Autor: Gabriel Melendez
Tipo de recurso: tesis de maestría
Estado:Versión aceptada para publicación
Fecha de publicación:2018
País:México
Institución:Instituto Nacional de Astrofísica, Óptica y Electrónica
Repositorio:Repositorio Institucional del INAOE
Idioma:inglés
OAI Identifier:oai:inaoe.repositorioinstitucional.mx:1009/1610
Acceso en línea:http://inaoe.repositorioinstitucional.mx/jspui/handle/1009/1610
Access Level:acceso abierto
Palabra clave:info:eu-repo/classification/Inspec/Reversible watermarking
info:eu-repo/classification/Inspec/Gentic algorithm
info:eu-repo/classification/Inspec/Prediction error expansion
info:eu-repo/classification/Inspec/Watermark
info:eu-repo/classification/Inspec/Pixel value ordering
info:eu-repo/classification/cti/1
info:eu-repo/classification/cti/12
info:eu-repo/classification/cti/1203
info:eu-repo/classification/cti/120323
Descripción
Sumario:Protecting information within communication systems is quite important since a digital content may be manipulated by unauthorized people during transmission. Image watermarking is a hiding information technique that has been thoroughly investigated by the cybersecurity community in recent years. A traditional watermarking scheme permanently distorts an image in order to hide information, which is why reversible watermarking schemes (RWS) emerged for application domains where original image is compulsory when involving decision making at the receiver end of the communication. Reversible watermarking schemes have the capability to extract the hidden information and remove the introduced distortion, such that original image is recovered. In this work, a reversible watermarking scheme for images authentication called PVO-GA (Pixel Value Ordering Genetic Algorithm), which is based on pixel value ordering technique to embed the watermark is developed. The proposed scheme improves the two important characteristics in reversible watermarking, such as imperceptibility and embedding capacity reported in state of the art works. A fine grained genetic algorithm is incorporated in order to optimize the insertion process since solutions space is expanded. The proposed genetic algorithm finds the optimal/near optimal PVO-GA parameters, which provide an effective trade-off between imperceptibility and embedding capacity properties.