Results 11 to 20 of about 13,696 (179)

Image Forgery Detection Using Deep Learning by Recompressing Images [PDF]

Electronics, 2022
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.
Ali, Syed Sadaf, Ganapathi, Iyyakutti Iyappan, Vu, Ngoc-Son, Ali, Syed Danish, Saxena, Neetesh, Werghi, Naoufel   +5 more
openaire   +4 more sources

An Evaluation of Popular Copy-Move Forgery Detection Approaches

IEEE Transactions on Information Forensics and Security, 2012
A copy-move forgery is created by copying and pasting content within the same image, and potentially post-processing it. In recent years, the detection of copy-move forgeries has become one of the most actively researched topics in blind image forensics.
Angelopoulou, Elli, Christlein, Vincent, Jordan, Johannes, Riess, Christian, Riess, Corinna   +4 more
core   +3 more sources

Image Copy-Move Forgery Detection Based on Fused Features and Density Clustering

Applied Sciences, 2023
Image copy-move forgery is a common simple tampering technique. To address issues such as high time complexity in most copy-move forgery detection algorithms and difficulty detecting forgeries in smooth regions, this paper proposes an image copy-move ...
Guiwei Fu, Yujin Zhang, Yongqi Wang
doaj   +1 more source

Modeling of Reptile Search Algorithm With Deep Learning Approach for Copy Move Image Forgery Detection

IEEE Access, 2023
Copy-move (CM) forgery is a common type of image manipulation that involves copying and pasting a region within an image to conceal or duplicate content. Detection of such forgeries acts as an important part of digital image forensics.
Mashael Maashi, Hayam Alamro, Heba Mohsen, Noha Negm, Gouse Pasha Mohammed, Noura Abdelaziz Ahmed, Sara Saadeldeen Ibrahim, Mohamed Ibrahim Alsaid   +7 more
doaj   +1 more source

Image forgery detection review

2021 International Conference on Information Systems and Advanced Technologies (ICISAT), 2021
With the wide spread of digital document use in administrations, fabrication and use of forged documents have become a serious problem. This paper presents a study and classification of the most important works on image and document forgery detection.
Benhamza, Hiba, Djeffal, Abdelhamid, Cheddad, Abbas   +2 more
openaire   +2 more sources

An Efficient CNN Model to Detect Copy-Move Image Forgery

IEEE Access, 2022
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 which researchers prioritize their studies.
Khalid M. Hosny, Akram M. Mortda, Mostafa M. Fouda, Nabil A. Lashin   +3 more
doaj   +1 more source

Image Forgery Detection

International Research Journal on Advanced Engineering and Management (IRJAEM)
In the digital age, the proliferation of image editing tools has made it easier than ever to manipulate images, raising concerns about the authenticity and credibility of visual content. This project focuses on the development of an effective and efficient image forgery detection system to address the growing challenges associated with digital image ...
null Dr. Vikram S. Patil, null Ms. Muskan Sayyad, null Mr. Sangram Shinde, null Mr. Salman Pathan, null Mr. Shreyash Nikam   +4 more
  +4 more sources

A robust detection and localization technique for copy-move forgery in digital images

Journal of King Saud University: Computer and Information Sciences, 2023
Image forensic analysis becomes a major role in the field of digital image security due to tampering and forgery. The image forgery violates the authenticity and ownership of digital images.
Manaf Mohammed Ali Alhaidery, Amir Hossein Taherinia, Haider Ismael Shahadi   +2 more
doaj   +1 more source

An improved copy-move forgery detection based on density-based clustering and guaranteed outlier removal

Journal of King Saud University: Computer and Information Sciences, 2021
Copy-move image forgery detection has become a significant research subject in multimedia forensics and security due to its widespread use and its hard detection.
Aya Hegazi, Ahmed Taha, Mazen M. Selim
doaj   +1 more source

Copy-move forgery detection using the segment gradient orientation histogram [PDF]

, 2017
The ready availability of image-editing software makes ensuring the authenticity of images an important issue. The most common type of image tampering is cloning, or Copy-Move Forgery (CMF), in which part(s) of the image are copied and pasted back into ...
Khayeat, Ali, Rosin, Paul L., Sun, Xianfang   +2 more
core   +2 more sources