Results 221 to 230 of about 11,458,060 (241)
MSCSCC-Net: multi-scale contextual spatial-channel correlation network for forgery detection and localization of JPEG-compressed image. [PDF]
Shan W, Yue J, Ding SX, Qiu J.
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
SNIS: A Signal Noise Separation-Based Network for Post-Processed Image Forgery Detection
IEEE Transactions on Circuits and Systems for Video Technology, 2023Yaonan Wang, Xin Liao
exaly
A survey on deep learning-based image forgery detection
Pattern Recognition, 2023Mohsen Sardari Zarchi
exaly
QDL-CMFD: A Quality-independent and deep Learning-based Copy-Move image forgery detection method
Neurocomputing, 2022Nacer Farajzadeh
exaly
Image Forgery Detection Using Deep Learning by Recompressing Images
Electronics, 2022Iyyakutti Iyappan Ganapathi +2 more
exaly
Australian Journal of Forensic Sciences
Australian Journal of Forensic Sciences, 2023Nitish Kumar, Toshanlal Meenpal
exaly
An efficient method for image forgery detection based on trigonometric transforms and deep learning
Multimedia Tools and Applications, 2020Fathi E Abd El-Samie +2 more
exaly
Digital image forgery detection using passive techniques: A survey
Digital Investigation, 2013Vijay Mankar, Gajanan Birajdar
exaly

