Results 81 to 90 of about 79,494 (188)

An Efficiency Enhanced Cluster Expanding Block Algorithm for Copy-Move Forgery Detection [PDF]

[[conferencetype]]國際[[conferencetkucampus]]台北校園[[conferencedate]]20150902~20150904[[booktype]]電子版[[iscallforpapers]]Y[[conferencelocation]]Taipei ...
[[corresponding]]Chen, Chien-Chang, Lin, Cheng-Shian   +1 more
core  

Copy-Move Forgery Detection (CMFD) Using Deep Learning for Image and Video Forensics. [PDF]

J Imaging, 2021
Rodriguez-Ortega Y, Ballesteros DM, Renza D.   +2 more
europepmc   +1 more source

Detection and localization of copy-move tampering along with adversarial attack in a digital image

Discover Computing
Authenticating digital images is increasingly challenging due to the prevalence of tampering techniques such as copy-move tampering, where parts of an image are copied and pasted within the same image.
Anjali Diwan, Anil K. Roy
doaj   +1 more source

Novel Method for Copy-Move Forgery Detection

International Journal of Computer Applications, 2021
Manpreet Kaur, Sharanjit Kaur
openaire   +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

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  

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

Applied 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, Yujin Zhang, Yongqi Wang, Shiwen Zhang   +3 more
doaj   +1 more source

Detection of Copy-Move Forgery in Digital Images Using Scale Invariant Feature Transform Algorithm and the Spearman Relationship

Iranian Journal of Electrical and Electronic Engineering, 2020
Increased popularity of digital media and image editing software has led to the spread of multimedia content forgery for various purposes. Undoubtedly, law and forensic medicine experts require trustworthy and non-forged images to enforce rights.
A. Fattahi, S. Emadi
doaj  

IMAGE COPY-MOVE FORGERY DETECTION SYSTEM

International Research Journal of Modernization in Engineering Technology and Science, 2022
openaire   +1 more source

Random Forest based Copy-Move Forgery Detection

, 2020
Proving the authenticity of images is animportant part of image forensics. Copy-move forgery is amethod of forgery commonly followed in blind image forensics.We propose the use of a modified Auto Color Correlogram toobtain feature vectors from the forged image.
openaire   +2 more sources