Results 201 to 210 of about 1,494 (254)

DeepLayer-ID: A Lightweight Multi-Domain Forensic Framework for Real-Time Deepfake Detection in Resource-Constrained UAV Sensor Platforms. [PDF]

Sensors (Basel)
Alshammari NH, Alshammari SA.
europepmc   +1 more source

Image tampering detection using dynamic histogram equalization based LIOP features and novel scaled K-means +  + clustering. [PDF]

Sci Rep
Mehmood Z, Bilal M, Munshi A, Cheema AM, Rashid J, Kim J.   +5 more
europepmc   +1 more source

Connoisseurship and Technical Analysis Re-evaluating the Laughing Cavalier Forgery 100 Years After the Court Case

Tummers A, Alfeld M, Dik J, Fahed I, d’Imporzano P, Janssens K, Kokkedee L, Litjens S, Pizurica A, Vandenabeele P, Vermeersch E, Vyncke N, Wallert A.   +12 more
europepmc   +1 more source

Exposing Face Manipulation Based on Generative Adversarial Network-Transformer and Fake Frequency Noise Traces. [PDF]

Sensors (Basel)
Man Q, Cho YI.
europepmc   +1 more source

Multi-stage deep learning framework for robust recognition of overlapping and faded handwritten text in bank cheques. [PDF]

Sci Rep
Chaitanyaswami H, Dobariya A, Iyer S, Chen CL, Liu LC, Uddin M, Hussain S.   +6 more
europepmc   +1 more source

Effectiveness and optimization of bidirectional long short-term memory (BiLSTM) based fast detection of deep fake face videos for real-time applications. [PDF]

PeerJ Comput Sci
Wang H.
europepmc   +1 more source

Retraction: miR-551b regulates epithelial-mesenchymal transition and metastasis of gastric cancer by inhibiting ERBB4 expression. [PDF]

Oncotarget
Song G, Zhang H, Chen C, Gong L, Chen B, Zhao S, Shi J, Xu J, Ye Z.   +8 more
europepmc   +1 more source

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Image forgery techniques: a review

Artificial Intelligence Review, 2022
Munish Kumar, Navdeep Singh, Kumar Munish   +2 more
exaly   +2 more sources

IMAGE FORGERY DETECTION

International Journal of Engineering Applied Sciences and Technology, 2023
In the digital age, the ability to manipulate digital images has become increasingly sophisticated, making it challenging to detect and distinguish between authentic and forged images. Image forgery detection is an active and crucial area of research, with various methods and techniques being proposed to detect manipulated images. This paper provides a
Shivam Pandey, Aditya ., Seema Jain, Usha Dhankar   +3 more
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Image forgery detection using image similarity

Multimedia Tools and Applications, 2020
Ideally, sophisticated image forgery methods leave no perceptible evidence of tampering. In response to such stringent context, researchers have proposed digital methods to detect such indiscernible tampering. In this paper, we present a blind image forgery detection method that uses a steerable pyramid decomposition technique and copulas ensemble ...
Saif alZahir, Radwa Hammad
openaire   +1 more source