Image Forgery Detection Based On Parallel Convolutional Neural Networks
Küçük Resim Yok
Tarih
2022
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Ieee
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
As a result of the advancement of software tools used in digital image processing, it has become very easy to generate fake images by applying various manipulations techniques on the original (authentic) images. These manipulated images can easily be used with malicious intentions in important fields such as law, medicine and communication. Hence, image forgery detection, determining whether an image is original or forged, is an important task. In this study, an image forgery detection system is proposed by combining three deep neural network structures in parallel, unlike the uniform deep learning methods used in image forgery detection. The proposed method has been evaluated on three different datasets, and the results clearly demonstrate the efficiency of the proposed method with promising classification accuracy.
Açıklama
30th IEEE Signal Processing and Communications Applications Conference (SIU) -- MAY 15-18, 2022 -- Safranbolu, TURKEY
Anahtar Kelimeler
image forensics, image forgery detection, deep learning, convolutional neural network
Kaynak
2022 30Th Signal Processing and Communications Applications Conference, Siu
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
