Results 11 to 20 of about 1,456 (256)

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 Optimal Hybrid Method to Detect Copy-move Forgery [PDF]

Journal of Artificial Intelligence and Data Mining, 2023
Image is a powerful communication tool that is widely used in various applications, such as forensic medicine and court, where the validity of the image is crucial. However, with the development and availability of image editing tools, image manipulation
Fatemeh Zare mehrjardi, Alimohammad Latif, Mohsen Sardari Zarchi   +2 more
doaj   +1 more source

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

A New Method to Detect Splicing Image Forgery Using Convolutional Neural Network

Applied Sciences, 2023
Recently, digital images have been considered the primary key for many applications, such as forensics, medical diagnosis, and social networks. Image forgery detection is considered one of the most complex digital image applications.
Khalid M. Hosny, Akram M. Mortda, Nabil A. Lashin, Mostafa M. Fouda   +3 more
doaj   +1 more source

Enhancing Digital Image Forgery Detection Using Transfer Learning

IEEE Access, 2023
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 identify these forgeries. This problem was tackled in the literature by
Ashgan H. Khalil, Atef Z. Ghalwash, Hala Abdel-Galil Elsayed, Gouda I. Salama, Haitham A. Ghalwash   +4 more
doaj   +1 more source

Demosaicing to Detect Demosaicing and Image Forgeries

2022 IEEE International Workshop on Information Forensics and Security (WIFS), 2022
The truthfulness of images is a critical concern. Digital photographs can no longer be assumed to be truthful; indeed, digital image editing tools can easily and convincingly alter the semantic content of an image. Being able to analyse an image to check for forgeries becomes of the utmost importance in many domains, from police investigations to fact ...
Bammey, Quentin, Grompone von Gioi, Rafael, Morel, Jean-Michel   +2 more
openaire   +3 more sources

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

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

Image Inpainting Forgery Detection: A Review

Journal of Imaging, 2023
In recent years, significant advancements in the field of machine learning have influenced the domain of image restoration. While these technological advancements present prospects for improving the quality of images, they also present difficulties, particularly the proliferation of manipulated or counterfeit multimedia information on the internet. The
Adrian-Alin Barglazan, Remus Brad, Constantin Constantinescu   +2 more
openaire   +3 more sources

Image Forgery Detection & Localization

SSRN Electronic Journal, 2021
A human brain responds at a much faster rate to images and the information it contains. An image is considered as proof of past events that have occurred, but in today's world where editing tools are made available so easily tampering of images and hiding the original content has become too mainstream.
Aditi Shedge, Shaily Shah, Shubham Pandey, Mansi Pandey, Rupali Satpute   +4 more
openaire   +1 more source