Results 41 to 50 of about 1,456 (256)
Copy-Move Forgery Verification in Images Using Local Feature Extractors and Optimized Classifiers
Big Data Mining and Analytics, 2023 Passive image forgery detection methods that identify forgeries without prior knowledge have become a key research focus. In copy-move forgery, the assailant intends to hide a portion of an image by pasting other portions of the same image. The detection
S. B. G. Tilak Babu, Ch Srinivasa Rao
doaj +1 more source
Advanced Functional Materials, Volume 36, Issue 43, 29 May 2026.The layer‐by‐layer (LbL) assembly of coordination solids, enabled by the surface‐mounted metal‐organic framework (SURMOF) platform, is on the cusp of generating the organic counterpart of the epitaxy of inorganics. The programmable and sequential SURMOF protocol, optimized by machine learning (ML), is suited for accessing high‐quality thin films of ...
Zhengtao Xu +2 more
wiley +1 more source
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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A novel framework for image forgery localization
CoRR, 2013 Image forgery localization is a very active and open research field for the difficulty to handle the large variety of manipulations a malicious user can perform by means of more and more sophisticated image editing tools. Here, we propose a localization framework based on the fusion of three very different tools, based, respectively, on sensor noise ...
Davide Cozzolino +2 more
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Advanced Functional Materials, Volume 36, Issue 43, 29 May 2026.This study presents novel anti‐counterfeiting tags with multilevel security features that utilize additional disguise features. They combine luminescent nanosized Ln‐MOFs with conductive polymers to multifunctional mixed‐matrix membranes and powder composites. The materials exhibit visible/NIR emission and matrix‐based conductivity even as black bodies.
Moritz Maxeiner +9 more
wiley +1 more source
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
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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Deep image composition meets image forgery
Abstract Image forgery is a topic that has been studied for many years. Advances in deep learning have impacted image forgery detection as much as they have impacted other areas of computer vision and have improved the state of the art. Deep learning models require large amounts of labeled data for training.
Eren Tahir, Mert Bal
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Image forgery detection review
2021 International Conference on Information Systems and Advanced Technologies (ICISAT), 2021 open ...
Benhamza, Hiba +2 more
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Photoswitching Conduction in Framework Materials
Advanced Functional Materials, Volume 36, Issue 43, 29 May 2026.This mini‐review summarizes recent advances in state‐of‐the‐art proton and electron conduction in framework materials that can be remotely and reversibly switched on and off by light. It discusses the various photoswitching conduction mechanisms and the strategies employed to enhance photoswitched conductivity.
Helmy Pacheco Hernandez +4 more
wiley +1 more source