Results 41 to 50 of about 1,494 (254)
Image Forgery Detection Techniques: Latest Trends and Key Challenges
IEEE AccessThe improvement and accessibility of high-resolution cameras have significantly increased image capturing by various media. Different editing tools are available that are frequently used to improve image quality, resulting in the alteration of images. So,
Poulomi Deb +3 more
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False Matches Removing in Copy-Move Forgery Detection Algorithms
Al-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
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Image Blur Forgery Detection Based on Color Consistency [PDF]
Jisuanji 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
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Journal 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
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Turning Water Into a Tool: From Degradation Pathways to Functional Engineering in Halide Perovskites
Advanced Materials Technologies, EarlyView.Water exhibits a threshold‐dependent dual role in lead halide perovskites, acting either as a degradation trigger or as a powerful tool for defect passivation, recrystallization, and structural engineering. This review discusses how controlled water‐mediated interactions govern stability, dimensionality, and optoelectronic performance, providing ...
Raphaella T. S. Gonçalves +4 more
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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
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Advanced Materials Technologies, EarlyView.Programmable luminescent tags based on organic room‐temperature phosphorescence are shown to be governed by oxygen incorporation during fabrication. Oxygen‐free processing enables immediate phosphorescence activation, controlled thermal preconditioning, and tunable activation doses.
Lucy Winkler +2 more
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Multibranch Collaboration and Segmented Training Network for Image Forgery Comprehensive Detection
IET BiometricsWith the rise of sophisticated image manipulation techniques, image detection forgeries have become increasingly challenging. This paper presents a novel deep learning framework, the multibranch collaboration and segmented training network (MBC-STN), for
Jing Chang +3 more
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Region Duplication Forgery Detection Technique Based on SURF and HAC
The Scientific World Journal, 2013 Region duplication forgery detection is a special type of forgery detection approach and widely used research topic under digital image forensics. In copy move forgery, a specific area is copied and then pasted into any other region of the image.
Parul Mishra +3 more
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Optimization of a Pre-Trained AlexNet Model for Detecting and Localizing Image Forgeries
Information, 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
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