Prnu-based content forgery localization augmented with image segmentation

HIGHLIGHTS

  • who: . and collaborators from the School of Information Technology, Deakin University, Waurn Ponds Campus, Geelong, VIC, Australia have published the research work: PRNU-Based Content Forgery Localization Augmented With Image Segmentation, in the Journal: (JOURNAL)
  • what: The authors take forgery localization based on photo-response non-uniformity (PRNU) noise as an example and propose a segmentationbased forgery localization scheme that exploits the local homogeneity of visually indiscernible clues to mitigate the limitations of existing segmentation approaches that are merely based on visually perceptible content. The authors propose a novel superpixel segmentation algorithm that encodes both . . .

     

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