A survey on deep learning-based image forgery detection

FZ Mehrjardi, AM Latif, MS Zarchi, R Sheikhpour - Pattern Recognition, 2023 - Elsevier
Image is known as one of the communication tools between humans. With the development
and availability of digital devices such as cameras and cell phones, taking images has …

A survey of detection and mitigation for fake images on social media platforms

DK Sharma, B Singh, S Agarwal, L Garg, C Kim… - Applied Sciences, 2023 - mdpi.com
Recently, the spread of fake images on social media platforms has become a significant
concern for individuals, organizations, and governments. These images are often created …

[Retracted] Efficient Approach towards Detection and Identification of Copy Move and Image Splicing Forgeries Using Mask R‐CNN with MobileNet V1

KD Kadam, S Ahirrao, K Kotecha - Computational Intelligence …, 2022 - Wiley Online Library
With the technological advancements of the modern era, the easy availability of image
editing tools has dramatically minimized the costs, expense, and expertise needed to exploit …

[HTML][HTML] Enhancing wind power prediction with self-attentive variational autoencoders: A comparative study

F Harrou, A Dairi, A Dorbane, Y Sun - Results in Engineering, 2024 - Elsevier
Accurate wind power prediction is critical for efficient grid management and the integration of
renewable energy sources into the power grid. This study presents an effective deep …

Image copy-move forgery detection and localization based on super-BPD segmentation and DCNN

Q Li, C Wang, X Zhou, Z Qin - Scientific Reports, 2022 - nature.com
With the increasing importance of image information, image forgery seriously threatens the
security of image content. Copy-move forgery detection (CMFD) is a greater challenge …

Enhancing digital image forgery detection using transfer learning

AH Khalil, AZ Ghalwash, HAG Elsayed… - IEEE …, 2023 - ieeexplore.ieee.org
Nowadays, digital images are a main source of shared information in social media.
Meanwhile, malicious software can forge such images for fake information. So, it's crucial to …

SiteForge: Detecting and localizing forged images on microblogging platforms using deep convolutional neural network

B Singh, DK Sharma - Computers & Industrial Engineering, 2021 - Elsevier
Microblogging applications are currently used to disseminate information with concise text
and images. Nevertheless, they are also the largest platform for circulating forged images …

Copy-move forgery detection using local tetra pattern based texture descriptor

S Ganguly, S Mandal, S Malakar, R Sarkar - Multimedia Tools and …, 2023 - Springer
In modern era it has become increasingly easier to manipulate and tamper digital images,
one of the primary reasons being the boon of commonplace availability of powerful image …

An approach for copy-move image multiple forgery detection based on an optimized pre-trained deep learning model

B Chaitra, PVB Reddy - Knowledge-Based Systems, 2023 - Elsevier
Owing to the rapid increase in the availability of editing tools and image capturing, the
amount of fake images available online has increased tremendously. Moreover, social …

A survey on traditional and deep learning copy move forgery detection (CMFD) techniques

MA Elaskily, MM Dessouky, OS Faragallah… - Multimedia Tools and …, 2023 - Springer
Digital image forgeries become one of the most challenges faced by technology users today.
A copy-move forgery is one of the most common types of these forgeries. This type is not …