Results 71 to 80 of about 17,426 (184)

Seam-Carving forgery detection based on expanded Markov features

Tongxin xuebao, 2014
To deal with the digital image forgery using Seam-Carving, a detection algorithm based on expanded Markov features was proposed. The algorithm takes full acount of the image frequency domain change caused by Seam-Carving operation, merges the features ...
Guo-rui SHENG, Tie-gang GAO, Li FAN, Lin GAO, Fu-sheng YANG, Shun ZHANG   +5 more
doaj   +2 more sources

The PS-Battles Dataset - an Image Collection for Image Manipulation Detection

, 2018
The boost of available digital media has led to a significant increase in derivative work. With tools for manipulating objects becoming more and more mature, it can be very difficult to determine whether one piece of media was derived from another one or
Heller, Silvan, Rossetto, Luca, Schuldt, Heiko   +2 more
core  

New Texture Descriptor Based on Modified Fractional Entropy for Digital Image Splicing Forgery Detection

Entropy, 2019
Forgery in digital images is immensely affected by the improvement of image manipulation tools. Image forgery can be classified as image splicing or copy-move on the basis of the image manipulation type.
Hamid A. Jalab, Thamarai Subramaniam, Rabha W. Ibrahim, Hasan Kahtan, Nurul F. Mohd Noor   +4 more
doaj   +1 more source

An Enhanced Hybrid Method based on Local and Frequency Feature Extraction for Image Copy Move Forgery Detection

Majlesi Journal of Electrical Engineering
Today, due to the advent of the powerful photo editing software packages, it has become relatively easy to create forgery images. Recognizing the correctness of digital images becomes important when those images are used as evidence in legal, forensic ...
Shirin Nayerdinzadeh, Mohammad Yousefi
doaj   +1 more source

Keypoint-based passive method for image manipulation detection

Cogent Engineering, 2018
Due to the availability of media editing software, the authenticity and reliability of digital images are important. Region manipulation is a simple and effective method for digital image forgeries. Hence, the potential to identify the image manipulation
Choudhary Shyam Prakash, Hari Om, Sushila Maheshkar, Vikas Maheshkar   +3 more
doaj   +1 more source

Boosting Image Forgery Detection using Resampling Features and Copy-move analysis

, 2018
Realistic image forgeries involve a combination of splicing, resampling, cloning, region removal and other methods. While resampling detection algorithms are effective in detecting splicing and resampling, copy-move detection algorithms excel in ...
Bappy, Jawadul H., Bunk, Jason, Chandrasekaran, Shivkumar, Flenner, Arjuna, Manjunath, B. S., Mohammed, Tajuddin Manhar, Nataraj, Lakshmanan, Peterson, Lawrence, Roy-Chowdhury, Amit K.   +8 more
core  

Copy Move Image Forgery Detection using Multi-Level Local Binary Pattern Algorithm

Journal of Engineering
Digital image manipulation has become increasingly prevalent due to the widespread availability of sophisticated image editing tools. In copy-move forgery, a portion of an image is copied and pasted into another area within the same image.
Marwa Emad Mahdi, Nada Hussein M Ali
doaj   +1 more source

IFDNet: A Contextually Modulated Deep Network for Robust Image Forgery Detection

IEEE Open Journal of the Computer Society
The widespread availability of advanced digital editing has made image forgery increasingly sophisticated and harder to detect using conventional techniques. To address this problem, an Image Forgery Detection Network (IFDNet) is proposed.
Puneeth S, Shyam Lal, B.S. Raghavendra
doaj   +1 more source

Efficient Approach for the Localization of Copy-Move Forgeries Using PointRend with RegNetX

مجلة بغداد للعلوم
Digital images are one of the modern era's dominant sources of information and communication. However, an image can simply be altered with the existence of several tools for image editing.
Mahmoud H. Farhan , Khalid Shaker, Sufyan Al-Janabi   +2 more
doaj   +1 more source