Results 31 to 40 of about 1,456 (256)

Fast copy-move forgery detection algorithm based on group SIFT

open access: yesTongxin xuebao, 2020
Aiming at the high computational complexity of the existing copy-move image forgery detection algorithm,a copy-move forgery detection algorithm based on group scale-invariant feature transform (SIFT) was proposed.Firstly,the simple linear iterative ...
Bin XIAO   +3 more
doaj   +2 more sources

Characterization of Macro/Microstructure and Corrosion Resistance of Austenitic Gas Tungsten Arc Welding Cladding

open access: yesAdvanced Engineering Materials, Volume 28, Issue 11, 3 June 2026.
Cladding is a proven method that boosts the surface qualities of mechanical parts by applying a layer of more durable material over a base substrate. This work responds to the needs of offshore and pressure vessels sectors by focusing on cladding a super austenitic steel onto low‐carbon steel through gas tungsten arc welding.
E. J. da Cruz Junior   +6 more
wiley   +1 more source

An Image Copy-Move Forgery Detection Method Based on SURF and PCET

open access: yesIEEE Access, 2019
With the maturity of image editing software, image content has been forged frequently, posing potential threats to many critical fields. To detect forgery images effectively, this paper proposes an image copy-move forgery detection (CMFD) method based on
Chengyou Wang   +3 more
doaj   +1 more source

PRNU-Based Content Forgery Localization Augmented With Image Segmentation

open access: yesIEEE Access, 2020
The advances in image editing and retouching technology have enabled an unskilled person to easily produce visually indistinguishable forged images. To detect and localize such forgeries, many image forensic tools rely on visually imperceptible clues, e ...
Xufeng Lin, Chang-Tsun Li
doaj   +1 more source

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

open access: yesJournal 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

Parameter Variation in Planetary Ball Milling of Titanium Aluminide Powder in XHV‐Adequate Atmosphere

open access: yesAdvanced Engineering Materials, EarlyView.
This study investigates the effects of milling parameters, including rotational speed, milling duration, and ball‐to‐powder ratio, on TiAl particle size and morphology in an XHV‐equivalent atmosphere. The creation of oxide‐free surfaces enhances the mechanical properties of green bodies.
Jytte Möckelmann   +4 more
wiley   +1 more source

False Matches Removing in Copy-Move Forgery Detection Algorithms

open access: yesAl-Mustansiriyah Journal of Science, 2020
Today the technology age is characterized by spreading of digital images. The most common form of transfer the information in magazines, newspapers, scientific journals and all types of social media.
muthana salih mahdi, Saad N. Alsaad
doaj   +1 more source

Image Blur Forgery Detection Based on Color Consistency [PDF]

open access: yesJisuanji gongcheng, 2016
This paper analyzes the local color correlation and the influence of blur forgery operation on image color consistency,and proposes a new method based on the improvement of the color features to detect the blur tamper of digital image.By redefining the ...
ZHOU Zhiping,HU Chengyan,HUANG Hao
doaj   +1 more source

Influence of Test Temperature and Test Frequency on Fatigue Life of Aluminum Alloy EN AW‐2618A

open access: yesAdvanced Engineering Materials, EarlyView.
The influence of test temperature and test frequency on the fatigue life of EN AW‐2618A is investigated. High‐cycle fatigue tests are performed at different test temperatures and frequencies on the 1000 h/230°C overaged state. Both test parameters reduce fatigue life due to time‐dependent damage mechanisms.
Ying Han   +5 more
wiley   +1 more source

Optimization of a Pre-Trained AlexNet Model for Detecting and Localizing Image Forgeries

open access: yesInformation, 2020
With the advance of many image manipulation tools, carrying out image forgery and concealing the forgery is becoming easier. In this paper, the convolution neural network (CNN) innovation for image forgery detection and localization is discussed. A novel
Soad Samir   +3 more
doaj   +1 more source

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