Image Forgery Detection Using Deep Learning by Recompressing Images
Capturing images has been increasingly popular in recent years, owing to the widespread availability of cameras. Images are essential in our daily lives because they contain a wealth of information, and it is often required to enhance images to obtain additional information. A variety of tools are a...
Main Authors: | Syed Sadaf Ali, Iyyakutti Iyappan Ganapathi, Ngoc-Son Vu, Syed Danish Ali, Neetesh Saxena, Naoufel Werghi |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-01-01
|
Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/11/3/403 |
Similar Items
-
Robust forgery detection for compressed images using CNN supervision
by: Boubacar Diallo, et al.
Published: (2020-12-01) -
Convolutional Neural Network for Copy-Move Forgery Detection
by: Younis Abdalla, et al.
Published: (2019-10-01) -
An Efficient CNN Model to Detect Copy-Move Image Forgery
by: Khalid M. Hosny, et al.
Published: (2022-01-01) -
Enhancing Digital Image Forgery Detection Using Transfer Learning
by: Ashgan H. Khalil, et al.
Published: (2023-01-01) -
RIFD-Net: A Robust Image Forgery Detection Network
by: Wuyang Shan, et al.
Published: (2024-01-01)