Results 61 to 70 of about 11,458,060 (241)
RIFD-Net: A Robust Image Forgery Detection Network
IEEE AccessImage splicing forensic technologies reveal manipulations that add or remove objects from images. However, the performance of existing splicing forensic methods is fatally degraded when detecting noisy images, as they often ignore the influence of image ...
Wuyang Shan +5 more
doaj +1 more source
Coherent Absorption Reveals Colors Hidden in a Grey Fabry–Pérot Cavity
Advanced Optical Materials, EarlyView.A dielectric thin film shows colors depending on its thickness; this effect can be used to encode information normally accessible through single‐beam spectroscopy. We developed a method to conceal this kind of information, based on coating the dielectric with a matched conductor, that suppresses the color‐bearing thin‐film resonances.
Giuseppe E. Lio +10 more
wiley +1 more source
Image Domain Distinct Native Attribute Fingerprinting for Image Forgery Classification [PDF]
Image forgery is becoming more difficult to detect due to advances in AI image generation. As such, the usefulness — and even requirement — for detection techniques that are affordable (computationally and monetarily) as well as intuitive and simple are ...
McQuagge, Jessica +2 more
core +3 more sources
Deep Image Composition Meets Image Forgery [PDF]
Image forgery is a topic that has been studied for many years. Before the breakthrough of deep learning, forged images were detected using handcrafted features that did not require training. These traditional methods failed to perform satisfactorily even
Tahir, Eren, Bal, Mert
core +2 more sources
, 1959 Video footage from the WBAP-TV station in Fort Worth, Texas to accompany a news story about Wanda Wood being charged with forgery in ...
WBAP-TV (Television station : Fort Worth, Tex.)
core +1 more source
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Advanced Science, EarlyView.Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
Advanced Science, EarlyView.By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin +12 more
wiley +1 more source
Advanced Science, EarlyView.An integrated transfer learning framework integrates CALPHAD simulations, diffusion‐multiple experiments, and literature data to predict long‐term microstructural stability and short‐term mechanical properties of Ni‐based powder metallurgy superalloys. Based on these model predictions, a high‐performance, low‐density alloy, USTB‐PM750, is designed from
Zixin Li +8 more
wiley +1 more source
A Study on Image Forgery Detection Techniques [PDF]
, 2019 In this contemporary world, digital image plays a vital role in several application areas. Image forgery means that handling of the digital image to hide some significant or helpful information of the image.
Manikandan, Dr. L. C., Easow, Shijo
core +1 more source
Robust forgery detection for compressed images using CNN supervision
Forensic Science International: Reports, 2020 Images available on online sharing platforms have a high probability of being modified, with additional global transformations such as compression, resizing or filtering covering the possible alteration.
Boubacar Diallo +3 more
doaj +1 more source