Repositório do Conhecimento Institucional do Centro Universitário FEI
 

Artigos

URI permanente para esta coleçãohttps://repositorio.fei.edu.br/handle/FEI/792

Navegar

Filtros

20191

Configurações

Autor: search.filters.author.RODRIGUES, P. S.Assunto: search.filters.subject.Bio-Inspired Segmentation

Resultados da Pesquisa

Agora exibindo 1 - 1 de 1
  • N/D
    Artigo de evento 1 Citação(ões) na Scopus
    A Bio-Inspired Methodology for Digital Imaging Forensic Detection
    (2019-09-05) SANTOS, G. L.; OLIVEIRA, G. R.; PRADO, F. F.; SERIKAKU, R.; SANTOS, R. M.; LOPES, G.; RODRIGUES, P. S.
    © 2019 IEEE.The increasing number of digital media users, as well as the development of multimedia platforms, such as smartphones and tablets, has also increased the number of users who professionally and fraudulently manipulate all types of digital media. This paper proposes a methodology based on an image processing pipeline to detect mainly copy-move type frauds, which are intended to hide or enlarge visual information. Our proposal has been tested in a Copy-Move Forgery database and the results were equal or better in performance than the state-of-art methods.