On the provenance of digital images

Phan, Quoc-Tin (2019) On the provenance of digital images. PhD thesis, University of Trento.

PDF - Doctoral Thesis
Available under License Creative Commons Attribution Non-commercial No Derivatives.

[img]PDF - Disclaimer
Restricted to Repository staff only until 9999.



Digital images are becoming the most commonly used multimedia data nowadays thanks to the massive manufacturing of cheap acquisition devices coupled with the unprecedented popularity of Online Social Networks. As two sides of a coin, massive use of digital images triggers the development of user-friendly editing tools and intelligent techniques that violate image authenticity. By this respect, digital images are less and less trustable as they are easily modified not only by experts or researchers, but also by unexperienced users. It has been also witnessed that malicious use of images has tremendous impact on human perception as well as system reliability. Those concerns highlight the importance to verify image authenticity. In practice, digital images are created, manipulated, and diffused world-wide via many channels. Simply answering to the question "Is an image authentic?'' appears insufficient. Further steps aiming at understanding the provenance of images with respect to acquisition device or distributed platforms as well as the processing history have to be considered significant. This doctoral study contributes solutions to recover digital image provenance under multiple aspects: i) image acquisition device, ii) social network origin, and iii) source-target disambiguation in image copy-move forgery.

Item Type:Doctoral Thesis (PhD)
Doctoral School:Information and Communication Technology
PhD Cycle:31
Subjects:Area 01 - Scienze matematiche e informatiche > INF/01 INFORMATICA
Uncontrolled Keywords:image provenance analysis, acquisition device, sparse subspace clustering, social network origin, copy-move forgery, source-target disambiguation
Repository Staff approval on:30 Apr 2019 10:30

Repository Staff Only: item control page