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International Journal of Machine Learning and Cybernetics
Erschienen in: International Journal of Machine Learning and Cybernetics 7/2018

02.03.2017 | Original Article

Fragile watermarking schemes for image authentication: a survey

verfasst von: K. Sreenivas, V. Kamkshi Prasad

Erschienen in: International Journal of Machine Learning and Cybernetics | Ausgabe 7/2018

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Abstract

This paper presents a survey of fragile watermarking schemes for image authentication proposed in the past decade. The limited embedding capacity and extent of tampering are some of the important issues among other issues that drive the research in this area. Therefore we have presented in this survey the gist of the fragile watermarking schemes in just enough detail so that the reader may gain a fair idea of the issues, techniques adopted in general to address them and the comparison of results. The general frame work of the fragile watermarking system, different categories of attacks and parameters used to evaluate the schemes are presented in this survey. The comparative analysis and the quantitative comparison of basic schemes and their variations with improvements will help the researchers in quick review of the recent developments in this area.
Vorheriger Artikel Multi-task learning for subthalamic nucleus identification in deep brain stimulation
Nächster Artikel Synchronization for fractional-order neural networks with full/under-actuation using fractional-order sliding mode control

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Metadaten
Titel
Fragile watermarking schemes for image authentication: a survey
verfasst von
K. Sreenivas
V. Kamkshi Prasad
Publikationsdatum
02.03.2017
Verlag
Springer Berlin Heidelberg
Erschienen in
International Journal of Machine Learning and Cybernetics / Ausgabe 7/2018
Print ISSN: 1868-8071
Elektronische ISSN: 1868-808X
DOI
https://doi.org/10.1007/s13042-017-0641-4

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