Fake Image Detection Using DCT and Local Binary Pattern
Küçük Resim Yok
Tarih
2019
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IEEE
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In the technological era, digital images occupy an important position in different life's fields and image tampering has become affordable effortlessly, which results in a widespread of tampered and fake images through the internet and social media specifically. There are many techniques for image manipulation, some of the well-known methods are splicing and copy-move. Splicing can be defined as cutting part from an image and pasting it into another picture, while copy-move is about copying part of an image and pasting it into the same picture. This paper challenges splicing and copy -move forgery detection methods on CASIA TIDE databases. The proposed method is based on Local Binary Pattern (LBP), and 2D Discrete Cosine Transform (DCT), which are used for feature extraction. Afterward, a Support Vector Machine (SVM) classifier distinguishes real and manipulated images. Initial performance was increased by applying Local Binary Pattern (LBP) to the whole image rather than in a block-based fashion. The proposed model reaches the-state of- the-art in the CASIA TIDE v1.0 database with remarkable results in terms of accuracy.
Açıklama
9th International Conference on Image Processing Theory, Tools and Applications (IPTA) -- NOV 06-09, 2019 -- Istanbul, TURKEY
Anahtar Kelimeler
Terms Image Forgery, Copy-Move, Splicing, Local Binary Pattern, Discrete Cosine Transform, Support Vector Machine
Kaynak
2019 Ninth International Conference on Image Processing Theory, Tools and Applications (Ipta)
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
