Illumination Inconsistency Sleuthing for Exposing Fauxtography and Uncovering Composition Telltales in Digital Images

Authors

  • Tiago Carvalho Brazilian National Center for Monitoring and Early Warning of Natural Disasters (CEMADEN)

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.  

Keywords

Computer Vision, Features and Image Descriptors, Pattern Recognition, Machine Learning and Data Mining, Image Analysis and Processing, Document Analysis, Applications, Other applications

Author Biography

Tiago Carvalho, Brazilian National Center for Monitoring and Early Warning of Natural Disasters (CEMADEN)

Tiago Carvalho received his B.Sc. (Computer Science) degree from Federal University of Juiz de Fora (UFJF), Brazil in 2008. He received his M.Sc. and Ph.D. (Computer Science) from University of Campinas (University of Campinas (Uni- camp)), Brazil, in 2010 and 2014, respectively. Currently, he is a Technologist at the National Center for Monitoring and Early Warning of Natural Disasters (CEMADEN) in Brazil. His main interests include digital image forensics, image processing, pattern analysis, machine learning, general com- puter vision and problems related with environment weather.

monitoring. He has actively worked as reviewer in important Image Processing and Digital Forensics journals, such as IEEE Transactions on Information Forensics and Security (T.IFS), Elsevier Journal of Visual Image Communication and Repre- sentation (JVCI), and IEEE Transactions on Image Processing (T.IP). In 2011 he was awarded with the best image processing master’s dissertation in SIBGRAPI’2011. Finally, in 2014 he was awarded with the best Ph.D. Thesis in SIBGRAPI’2014. 

DOI

https://doi.org/10.5565/rev/elcvia.707

Published

2015-12-19

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Copyright (c) 2015 Tiago Carvalho

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.