A Comparative Study of State-of-the-art Image Splicing Localization Methods Using Fully Convolutional Networks
Kamma Vidya, Shajimon Kalayil John, M. Wilscy, Remya Revi K., Rahul Antony · 2022 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES) · 2022
Image splicing forgery is one of the significant image manipulations. It is very difficult to find the location of forged portion in a spliced image. Nowadays, deep neural networks have been used to detect and localize image forgeries. In this paper, a brief survey and comparison on splicing localization of images using Fully Convolutional Network (FCN), a deep neural network is presented.