dc.contributor.author
Carvalho, Tiago
dc.identifier
https://ddd.uab.cat/record/144998
dc.identifier
urn:10.5565/rev/elcvia.707
dc.identifier
urn:oai:ddd.uab.cat:144998
dc.identifier
urn:oai:elcvia.revistes.uab.cat:article/707
dc.identifier
urn:articleid:15775097v14n3p4
dc.identifier
urn:oai:raco.cat:article/305449
dc.identifier
urn:scopus_id:84958152996
dc.description.abstract
Advisor and Co-Advisor: Anderson Rocha and Helio Pedrini. Date and location of PhD thesis defense: 21 March 2014, University of Campinas. National Center for Monitoring and Early Warning of Natural Disasters (CEMADEN), Sao José dos Campos, Brazil
dc.description.abstract
Think about how capture device's technology is improved day after day. Add to this condition that digital image manipulation tools are increasingly powerful and simple to use. Finally, when a malicious user is added at this equation, the result is an astonishing number of digital images forgeries spread out in the internet as fast as possible. This work present four different methods to fight against image splicing, an special kind of image forgery. Each one of the methods, present significant contributions to state of the art.
dc.format
application/pdf
dc.relation
ELCVIA. Electronic letters on computer vision and image analysis ; Vol. 14 Núm. 3 (2015), p. 4-5
dc.rights
Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.
dc.rights
https://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subject
Computer vision
dc.subject
Features and image descriptors
dc.subject
Pattern recognition
dc.subject
Machine learning and data mining
dc.subject
Image analysis and processing
dc.subject
Document analysis
dc.subject
Other applications
dc.title
Illumination Inconsistency Sleuthing for Exposing Fauxtography and Uncovering Composition Telltales in Digital Images
