Images have always played a key role as a mean to convey information, mainly because of their immediacy. Nowadays, digital images can be taken, processed and distributed in several easy ways, generating more and more entities of the same picture, as a sort of "organisms" that evolve over time. Thus, several issues arise about the Intellectual Property Rights and the Authenticity of digital images, increasing the interest in the reconstruction of their evolution. In this Thesis, scientific methods, borrowed from Image Forensics, have been proposed to reconstruct the evolution of digital pictures, when they suffered chains of processing operators or photomontages. Tools have been developed to recover the phylogeny of a set of related images as well as to analyze the evolution of a single picture, without any information about parenting images.

Image Evolution Analysis Through Forensic Techniques / P. Ferrara. - (2015).

Image Evolution Analysis Through Forensic Techniques

FERRARA, PASQUALE
2015

Abstract

Images have always played a key role as a mean to convey information, mainly because of their immediacy. Nowadays, digital images can be taken, processed and distributed in several easy ways, generating more and more entities of the same picture, as a sort of "organisms" that evolve over time. Thus, several issues arise about the Intellectual Property Rights and the Authenticity of digital images, increasing the interest in the reconstruction of their evolution. In this Thesis, scientific methods, borrowed from Image Forensics, have been proposed to reconstruct the evolution of digital pictures, when they suffered chains of processing operators or photomontages. Tools have been developed to recover the phylogeny of a set of related images as well as to analyze the evolution of a single picture, without any information about parenting images.
2015
Prof. Alessandro Piva
P. Ferrara
File in questo prodotto:
File Dimensione Formato  
PhD-Thesis- FERRARA.pdf

accesso aperto

Tipologia: Tesi di dottorato
Licenza: Open Access
Dimensione 6.69 MB
Formato Adobe PDF
6.69 MB Adobe PDF

I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/983604
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact