Image Forgery Detection and Localization via a Reliability Fusion Map

Moving away from hand-crafted feature extraction, the use of data-driven convolution neural network (CNN)-based algorithms facilitates the realization of end-to-end automated forgery detection in multimedia forensics. On the basis of fingerprints acquired by images from different camera models, the...

Celý popis

Podrobná bibliografia

Vydané v:	Sensors (Basel, Switzerland) Ročník 20; číslo 22; s. 6668
Hlavní autori:	Yao, Hongwei, Xu, Ming, Qiao, Tong, Wu, Yiming, Zheng, Ning
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 21.11.2020 MDPI
Predmet:	Accuracy Algorithms convolution neural network (CNN) Design Digital cameras digital image forensics Forgery Internet of Things Multimedia Neural networks Noise reliability fusion map (RFM) Sensors tampering detection and localization
ISSN:	1424-8220, 1424-8220
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!