| Data: |
2015 |
| Resum: |
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. |
| Nota: |
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 |
| Drets: |
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.  |
| Llengua: |
Anglès |
| Document: |
Altres ; recerca ; Versió publicada |
| Matèria: |
Computer vision ;
Features and image descriptors ;
Pattern recognition ;
Machine learning and data mining ;
Image analysis and processing ;
Document analysis ;
Applications ;
Other applications |
| Publicat a: |
ELCVIA. Electronic letters on computer vision and image analysis, Vol. 14 Núm. 3 (2015) , p. 4-5 (Special Issue on Recent PhD Thesis Dissemination (2014)) , ISSN 1577-5097 |
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