Toward deep-learning-based methods in image forgery detection: a survey

HIGHLIGHTS

• who: Forgery Detection A Survey et al. from the Department of Computer Education, Sungkyunkwan University, have published the article: Toward Deep-Learning-Based Methods in Image Forgery Detection: A Survey, in the Journal: (JOURNAL)
• what: In this survey, the authors investigate recent trends in image forgery detection approaches for two of the most popular types of image forgery: copy-move images and spliced images. The authors provide a brief overview of backbone DL networks for IFD problems. The contribution of this research to the design of a novel encoder-decoder network is presented in section . . .
  

   

  

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