State of the art in passive digital image forgery detection: copy-move image forgery

S Sadeghi, S Dadkhah, HA Jalab, G Mazzola… - Pattern Analysis and …, 2018 - Springer
Authenticating digital images is increasingly becoming important because digital images
carry important information and due to their use in different areas such as courts of law as …

CMFD: a detailed review of block based and key feature based techniques in image copy‐move forgery detection

B Soni, PK Das, DM Thounaojam - IET Image Processing, 2018 - Wiley Online Library
With the advancement of image editing tools in today's world, the manipulation of images
like crop**, cloning, resizing, etc., becomes an easy proposition and on the other end …

Detecting both machine and human created fake face images in the wild

S Tariq, S Lee, H Kim, Y Shin, SS Woo - Proceedings of the 2nd …, 2018 - dl.acm.org
Due to the significant advancements in image processing and machine learning algorithms,
it is much easier to create, edit, and produce high quality images. However, attackers can …

Detecting handcrafted facial image manipulations and GAN-generated facial images using Shallow-FakeFaceNet

S Lee, S Tariq, Y Shin, SS Woo - Applied soft computing, 2021 - Elsevier
The rapid progress of sophisticated image editing tools has made it easier to manipulate
original face images and create fake media content by putting one's face to another. In …

An efficient CNN model to detect copy-move image forgery

KM Hosny, AM Mortda, MM Fouda, NA Lashin - IEEE Access, 2022 - ieeexplore.ieee.org
Recently, digital images have become used in many applications, where they have become
the focus of digital image processing researchers. Image forgery represents one hot topic on …

QDL-CMFD: a quality-independent and deep learning-based copy-move image forgery detection method

M Aria, M Hashemzadeh, N Farajzadeh - Neurocomputing, 2022 - Elsevier
One of the prevalent methods of image forgery is copy-move, where one or more regions of
an image are duplicated and moved elsewhere in the image. It is usually difficult to detect …

Gan is a friend or foe? a framework to detect various fake face images

S Tariq, S Lee, H Kim, Y Shin, SS Woo - Proceedings of the 34th ACM …, 2019 - dl.acm.org
Creating fake images such as replacing one's face with other person's face has become
much easier due to the advancement of sophisticated image editing tools. In addition …

Automated detection of age-related macular degeneration using a pre-trained deep-learning scheme

S Kadry, V Ra**ikanth, R González Crespo… - The Journal of …, 2022 - Springer
An eye disease affects the entire sensory operation, and an unrecognised and untreated
eye disease may lead to loss of vision. The proposed work aims to develop an automated …

Copy–move forgery detection through stationary wavelets and local binary pattern variance for forensic analysis in digital images

T Mahmood, A Irtaza, Z Mehmood… - Forensic science …, 2017 - Elsevier
The most common image tampering often for malicious purposes is to copy a region of the
same image and paste to hide some other region. As both regions usually have same …

Survey on keypoint based copy-move forgery detection methods on image

D Chauhan, D Kasat, S Jain, V Thakare - Procedia Computer Science, 2016 - Elsevier
One of the problem in image forensics is to check the authenticity of image. This can be very
important task when images are used as an evidence which cause change in judgment like …