Merkezi Simetrik Yerel İkili Örüntü Temelli Görüntü Sahteciliği Tespiti
Öz
Anahtar Kelimeler
Kaynakça
- [1] Gurunlu, B., Ozturk, S., “A Survey on Photo Forgery Detection Methods”, ITM Web of Conferences CMES 2018, vol.22, pp.1-5, 2018.
- [2] Fridrich J, Soukal D, LukášJ . Detection of copy-move forgery in digital images. Digit Forensic Res Work 2003; 3:652–63, 2003
- [3] Meena KB, Tyagi V. Image forgery detection : survey and future directions, Data, Engineering and Applications, 2. Singapore: Springer; . p. 163–95, 2009
- [4] Cozzolino D , Poggi G , Verdoliva L . Efficient dense-field copy-move forgery detection. IEEE Transaction on Information Forensics Security;10(11):2284–97, 2015
- [5] Wang X-Y , Jiao L-X , Wang X-B , Yang H-Y , Niu P-P . Copy-move forgery detection based on compact color content descriptor and delaunay triangle matching. Multimed Tools Appl ;78(2):2311–44, 2018
- [6] Al-Qershi OM , Khoo BE . Enhanced block-based copy-move forgery detection using k-means clustering. Multidimensional System Signal Process ;30:1671–95, 2018
- [7] Chen B , Yu M , Su Q , Li L . Fractional quaternion cosine transform and its application in color image copy-move forgery detection. Multimedia Tools Application ;78:8057–73, 2018
- [8] Mahmood T , Irtaza A , Mehmood Z , Tariq Mahmood M . Copy–move forgery detection through stationary wavelets and local binary pattern variance for forensic analysis in digital images. Forensic Sci Int Oct.;279:8–21, 2017
Ayrıntılar
Birincil Dil
Türkçe
Konular
Bilgisayar Yazılımı
Bölüm
Araştırma Makalesi
Yayımlanma Tarihi
20 Ekim 2021
Gönderilme Tarihi
2 Eylül 2021
Kabul Tarihi
16 Eylül 2021
Yayımlandığı Sayı
Yıl 2021 Cilt: IDAP-2021 : 5th International Artificial Intelligence and Data Processing symposium Sayı: Special
is applied to all research papers published by JCS and
is assigned for each published paper.