A HYBRID COPY-MOVE FORGERY DETECTION METHOD WITH FAST AND SURF


Creative Commons License

Akar F.

New Trends in Engineering Sciences, Prof. KILIÇ Birol, Prof. BAŞYİĞİT KILIÇ Gülden, Editör, Duvar Publishing, Ankara, ss.191-205, 2022

  • Yayın Türü: Kitapta Bölüm / Mesleki Kitap
  • Basım Tarihi: 2022
  • Yayınevi: Duvar Publishing
  • Basıldığı Şehir: Ankara
  • Sayfa Sayıları: ss.191-205
  • Editörler: Prof. KILIÇ Birol, Prof. BAŞYİĞİT KILIÇ Gülden, Editör
  • Erzincan Binali Yıldırım Üniversitesi Adresli: Evet

Özet

Since CMF is one of the most widely used falsification techniques for tampering with images, the subject has been studied extensively and there is still a lot of research today that suggests alternative detection techniques. However, benchmarking and standard datasets and also performance evaluation are main challenges yet to be overcome. It is clear that CMF is one of the major problems in image validation. For this reason, it is important to offer an effective solution to the issue. Considering all  these, copy-and-move image forgery is discussed in this study and an effective solution is presented to deal with the problem of determining the originality of digital images.