Results 41 to 50 of about 322 (151)

Nonoverlapping Blocks Based Copy-Move Forgery Detection

open access: yesSecurity and Communication Networks, 2018
In order to solve the problem of high computational complexity in block-based methods for copy-move forgery detection, we divide image into texture part and smooth part to deal with them separately. Keypoints are extracted and matched in texture regions.
Yu Sun 0016, Rongrong Ni, Yao Zhao 0001
openaire   +1 more source

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

open access: yesJournal 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

Ciratefi based copy move forgery detection on digital images

open access: yesMultimedia Tools and Applications, 2022
There is an increase in the requirement of digital image authentication in law, journalism, and medicine, even in the industry. Copy move forgery is the most common method of forgery methods which are applied to digital images. The importance of verifying digital images that are used in important areas with real-time systems is increasing.
Gul Tahaoglu   +4 more
openaire   +2 more sources

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

open access: yesMajlesi 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

Advancements in CNN-Based Techniques for Robust Image Forgery Detection: Challenges and Future Directions [PDF]

open access: yesE3S Web of Conferences
In response to the rise of manipulated images online, which are often obscured by compression and resizing, effective forgery detection systems have become essential.
C Raghavendra   +3 more
doaj   +1 more source

Fuzzy Based Image Forensic Tool for Detection and Classification of Image Cloning

open access: yesInternational Journal of Computational Intelligence Systems, 2016
With the easy availability of image processing and image editing tools, the cases of forgery have been raised in the last few years. Now days it is very difficult for a viewer and judicial authorities to verify authenticate a digital image.
Mohammad Farukh Hashmi   +2 more
doaj   +1 more source

An Audio Copy-Move Forgery Localization Model by CNN-Based Spectral Analysis

open access: yesApplied Sciences
In audio copy-move forgery forensics, existing traditional methods typically first segment audio into voiced and silent segments, then compute the similarity between voiced segments to detect and locate forged segments.
Wei Zhao   +3 more
doaj   +1 more source

Copy-Move Forgery Detection Based on Keypoint Clustering and Similar Neighborhood Search Algorithm

open access: yesIEEE Access, 2020
Copy-move is one of the most commonly used methods of tampering with digital images. Keypoint-based detection is recognized as effective in copy-move forgery detection (CMFD). This paper proposes an efficient CMFD method via clustering SIFT keypoints and
Haipeng Chen, Xiwen Yang, Yingda Lyu
doaj   +1 more source

Fractional Quaternion Zernike Moments for Robust Color Image Copy-Move Forgery Detection

open access: yesIEEE Access, 2018
In this paper, fractional Zernike moments (FrZMs) for complex signals are generalized to fractional quaternion Zernike moments (FrQZMs) for quaternion signal processing in a holistic manner by the quaternion algebra.
Beijing Chen   +4 more
doaj   +1 more source

A Survey on Photo Forgery Detection Methods

open access: yesITM Web of Conferences, 2018
In recent years, digital image forgery detection has become one of the hardest studying area for researchers investigations in the field of information security and image processing.
Gurunlu Bilgehan, Ozturk Serkan
doaj   +1 more source

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