Výsledky vyhľadávania - Digital Image Forgery Detection and Identification

A Comprehensive Survey on Passive Techniques for Digital Image Forgery Detection

Autori: Mohamed A. Abdelhamed El-Sayed El-Rabie Amira Baumy

Zdroj: Menoufia Journal of Electronic Engineering Research. 0:9-21

Predmety: Artificial intelligence, Digital Image Watermarking Techniques, Image Inpainting, Computer science, Generative Adversarial Networks in Image Processing, Digital Images, Image Authentication, Image processing, Computer Science, Physical Sciences, Image Forgery Detection, Image (mathematics), Computer vision, Computer Vision and Pattern Recognition, Digital Image Forgery Detection and Identification, Digital image, Camera Model Identification

Roadmap for Digital Image Forgery Detection Using Deep Learning

Autori: Supriya S . Gadekar

Zdroj: Tuijin Jishu/Journal of Propulsion Technology. 44:1732-1748

Predmety: 0203 mechanical engineering, 02 engineering and technology

An efficient digital image forgery detection using Pelican search optimisation-based DCNN.

Autori: Tripathi, Esha Kumar, Upendra Tripathi, Surya Prakash

Zdroj: Journal of Experimental & Theoretical Artificial Intelligence; Nov2025, Vol. 37 Issue 8, p1267-1292, 26p

Predmety: CONVOLUTIONAL neural networks, DETECTION algorithms, FEATURE extraction, AUTHENTICATION (Law), IMAGE analysis

Efficient hybrid digital image watermarking

Autori: Amany F. Eldaoushy Moawad I. Desouky Sami A. El‐Dolil a ďalší

Zdroj: Journal of Optics. 52:2224-2238

Predmety: Image Encryption, Artificial intelligence, Robustness (evolution), Geometry, 02 engineering and technology, Watermarking, Biochemistry, Gene, Image processing, 0202 electrical engineering, electronic engineering, information engineering, Image Forgery Detection, Image (mathematics), FOS: Mathematics, Digital image, Digital content, Chaos-based Image Encryption Techniques, Digital Image Watermarking Techniques, Singular value decomposition, Computer science, Algorithm, Chemistry, Color Image Encryption, Image Authentication, Multimedia, Computer Science, Physical Sciences, Watermark, Computer vision, Computer Vision and Pattern Recognition, Digital watermarking, Digital Image Forgery Detection and Identification, Block (permutation group theory), Mathematics, Embedding

An efficient hidden marking approach for forensic and contents verification of digital images

Autori: Mohsen A. M. El‐Bendary Osama S. Faragallah Sabry S. Nassar

Zdroj: Multimedia Tools and Applications. 82:25527-25558

Predmety: Artificial intelligence, Image Inpainting, Copy-Move Forgery, Geometry, 02 engineering and technology, Pattern recognition (psychology), Mathematical analysis, Image processing, Discrete cosine transform, Image Forgery Detection, Image (mathematics), FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Digital image, Camera Model Identification, Domain (mathematical analysis), Digital Image Watermarking Techniques, 4. Education, Partition (number theory), 16. Peace & justice, Computer science, Process (computing), Operating system, Generative Adversarial Networks in Image Processing, Image Authentication, Combinatorics, Computer Science, Physical Sciences, Computer vision, Computer Vision and Pattern Recognition, Digital watermarking, Digital Image Forgery Detection and Identification, Block (permutation group theory), Mathematics, Embedding

Identifying the Digital Camera from Natural Images Using Residual Noise and the Jensen–Shannon Divergence

Autori: Francisco Rodríguez-Santos Ana Laura Quintanar Reséndiz G. Delgado-Gutiérrez a ďalší

Zdroj: Journal of Electrical and Computer Engineering, Vol 2022 (2022)

Predmety: Computer engineering. Computer hardware, Artificial intelligence, Data set, Fingerprint (computing), Set (abstract data type), Noise (video), 02 engineering and technology, Chemical Constituents and Production of Agarwood, Pattern recognition (psychology), TK7885-7895, Identification (biology), Resampling Detection, Image processing, FOS: Chemical sciences, Image Forgery Detection, Image (mathematics), 0202 electrical engineering, electronic engineering, information engineering, Divergence (linguistics), Digital image, Biology, Camera Model Identification, Digital camera, Digital Image Watermarking Techniques, Organic Chemistry, Botany, Linguistics, Computer science, FOS: Philosophy, ethics and religion, Programming language, Algorithm, Chemistry, Philosophy, Digital Images, Image Authentication, Residual, Computer Science, Physical Sciences, FOS: Languages and literature, Computer vision, Computer Vision and Pattern Recognition, Digital Image Forgery Detection and Identification

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Prístupová URL adresa: https://doaj.org/article/72d127c18d4f428195a77ae5c9434020

Classifying Melanoma in ISIC Dermoscopic Images Using Efficient Convolutional Neural Networks and Deep Transfer Learning

Autori: Habeba Mahmoud Osama A. Omer Shimaa Ragab a ďalší

Zdroj: Traitement du Signal. 41:679-691

Predmety: Artificial intelligence, Deep Learning in Medical Image Analysis, Dermoscopy, Convolutional neural network, Deep learning, Cancer research, Pattern recognition (psychology), Computer science, 3. Good health, Transfer of learning, Resampling Detection, Deep Learning, Oncology, Artificial Intelligence, Health Sciences, Computer Science, Physical Sciences, Medical Image Analysis, Medicine, Computer Vision and Pattern Recognition, Digital Image Forgery Detection and Identification, Melanoma, Biology

A survey on copy-move image forgery detection based on deep-learning techniques.

Autori: Samariya, Urmila Kamble, Shailesh D. Singh, Subhash a ďalší

Zdroj: Multimedia Tools & Applications; Aug2025, Vol. 84 Issue 26, p30603-30662, 60p

Predmety: DEEP learning, FORGERY, DIGITAL forensics, MACHINE learning

MMGANGuard: A Robust Approach for Detecting Fake Images Generated by GANs Using Multi-Model Techniques

Autori: Syed Ali Raza Usman Habib Muhammad Usman a ďalší

Zdroj: IEEE Access, Vol 12, Pp 104153-104164 (2024)

Predmety: Artificial intelligence, Image Inpainting, Robustness (evolution), detection, Pattern recognition (psychology), Biochemistry, Gene, Resampling Detection, Image Forgery Detection, data analytics, Deep fake, Camera Model Identification, deep learning, StyleGAN, Computer science, TK1-9971, Chemistry, Generative Adversarial Networks in Image Processing, Computer Science, Physical Sciences, Image Synthesis, Computer vision, Electrical engineering. Electronics. Nuclear engineering, Computer Vision and Pattern Recognition, GANs, Digital Image Forgery Detection and Identification

Prístupová URL adresa: https://doaj.org/article/a73e3acdc0184f0183c1d4a57d6ce288

Design of an academic document forgery detection system

Autori: Sirapat Boonkrong

Zdroj: International Journal of Information Technology.

Predmety: FOS: Computer and information sciences, Artificial intelligence, Copy-Move Forgery, 02 engineering and technology, 7. Clean energy, Characterization and Detection of Android Malware, Resampling Detection, Computer security, Image Forgery Detection, 0202 electrical engineering, electronic engineering, information engineering, Information retrieval, Digital Forensics Research and Challenges, Human–computer interaction, Computer graphics (images), 4. Education, 16. Peace & justice, Computer science, World Wide Web, Detection, Digital Forensics, Multimedia, Computer Science, Physical Sciences, Signal Processing, Computer vision, Computer Vision and Pattern Recognition, Digital Image Forgery Detection and Identification, Information Systems

MMFD-Net: A Novel Network for Image Forgery Detection and Localization via Multi-Stream Edge Feature Learning and Multi-Dimensional Information Fusion.

Autori: Yin, Haichang U, KinTak Wang, Jing a ďalší

Zdroj: Mathematics (2227-7390); Oct2025, Vol. 13 Issue 19, p3136, 24p

Predmety: DIGITAL forensics, DEEP learning, FORENSIC sciences, MULTISENSOR data fusion, DETECTION algorithms

Image Forgery Detection Based on Trigonometric Transforms

Autori: Faten Maher Al_azrak Moawad I. Dessouky Fathi Abd El-Samie a ďalší

Zdroj: Menoufia Journal of Electronic Engineering Research. 28:203-216

Predmety: Advanced Techniques in Bioimage Analysis and Microscopy, Artificial intelligence, Splicing Detection, Computer graphics (images), Copy-Move Forgery, Image Inpainting, 4. Education, Biophysics, Life Sciences, 16. Peace & justice, Computer science, Mathematical analysis, Generative Adversarial Networks in Image Processing, Biochemistry, Genetics and Molecular Biology, Computer Science, Physical Sciences, Image Forgery Detection, Image (mathematics), FOS: Mathematics, Computer vision, Computer Vision and Pattern Recognition, Digital Image Forgery Detection and Identification, Trigonometry, Mathematics, Camera Model Identification

Prístupová URL adresa: https://mjeer.journals.ekb.eg/article_62776.html
http://mjeer.journals.ekb.eg/article_62776.html

An Efficient CNN Model to Detect Copy-Move Image Forgery

Autori: Khalid M. Hosny Akram M. Mortda Mostafa M. Fouda a ďalší

Zdroj: IEEE Access, Vol 10, Pp 48622-48632 (2022)

Predmety: Autofocusing in Microscopy and Photography, Pooling, Artificial intelligence, Copy-Move Forgery, Image Processing, convolutional neural network, Social Sciences, FOS: Law, Convolutional neural network, 02 engineering and technology, Pattern recognition (psychology), Engineering, Resampling Detection, Image processing, Media Technology, Image Forgery Detection, Image (mathematics), 0202 electrical engineering, electronic engineering, information engineering, Image forgery detection, Digital image, Visual Jurisprudence and Legal Semiotics, Camera Model Identification, Geography, Physics, 4. Education, Optics, Focus (optics), Computer science, copy-move, image processing, TK1-9971, Process (computing), Operating system, Computer Science, Physical Sciences, Computer vision, Electrical engineering. Electronics. Nuclear engineering, Computer Vision and Pattern Recognition, Digital Image Forgery Detection and Identification, Benchmark (surveying), Law, Geodesy

Prístupová URL adresa: https://doaj.org/article/53b72bbe1eee4a9688ed607ba0464273

Robust Image Forgery Detection Using Point Feature Analysis

Autori: Youssef William Sherine Safwat Mohammed A.-M. Salem

Zdroj: Annals of computer science and information systems, Vol 18, Pp 373-380 (2019)

Predmety: Advanced Techniques in Bioimage Analysis and Microscopy, Autofocusing in Microscopy and Photography, Artificial intelligence, Copy-Move Forgery, Feature (linguistics), Biophysics, 0211 other engineering and technologies, Geometry, Information technology, 02 engineering and technology, Pattern recognition (psychology), Engineering, Resampling Detection, Point (geometry), Image processing, Biochemistry, Genetics and Molecular Biology, Media Technology, Image Forgery Detection, Image (mathematics), FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Camera Model Identification, Splicing Detection, 4. Education, Life Sciences, Linguistics, QA75.5-76.95, T58.5-58.64, Computer science, FOS: Philosophy, ethics and religion, Philosophy, Electronic computers. Computer science, Computer Science, Physical Sciences, FOS: Languages and literature, Feature extraction, Computer vision, Computer Vision and Pattern Recognition, Digital Image Forgery Detection and Identification, Feature detection (computer vision), Mathematics

Prístupová URL adresa: https://annals-csis.org/proceedings/2019/drp/pdf/227.pdf
https://doaj.org/article/02124abc6c8f4d4a9f145bfdc859249b
https://dblp.uni-trier.de/db/conf/fedcsis/fedcsis2019.html#WilliamSS19

Perceptual Mapping-Based Image Tamper Detection and Recovery Algorithm

Autori: Taha Basheer Taha Ruzelita Ngadiran Dujan B. Taha

Zdroj: Advances in Multimedia, Vol 2022 (2022)

Predmety: Artificial intelligence, Single Image Super-Resolution Techniques, Image Inpainting, 02 engineering and technology, Human visual system model, Resampling Detection, Image processing, Computer security, Image Forgery Detection, Image (mathematics), 0202 electrical engineering, electronic engineering, information engineering, Digital image, Camera Model Identification, Digital Image Watermarking Techniques, QA75.5-76.95, Computer science, Enhanced Data Rates for GSM Evolution, Luminance, Image Authentication, Authentication (law), Electronic computers. Computer science, Computer Science, Physical Sciences, Computer vision, Computer Vision and Pattern Recognition, Pixel, Digital Image Forgery Detection and Identification

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Prístupová URL adresa: https://doaj.org/article/0fe0cf872d87431fb4b2528974d27ede

A lightweight multi-task learning network based on key area guidance for counterfeit detection

Autori: Sam Yang Yu Yang Lei Zhou a ďalší

Zdroj: Signal, Image and Video Processing. 18:4675-4685

Predmety: FOS: Political science, FOS: Law, Automated Currency Recognition and Authentication, 02 engineering and technology, Pattern Recognition, Adversarial Robustness in Deep Learning Models, Counterfeit, Systems engineering, Task (project management), Resampling Detection, Engineering, Artificial Intelligence, Computer security, Image Forgery Detection, 0202 electrical engineering, electronic engineering, information engineering, Counterfeit Detection, Key (lock), Embedded system, Political science, Human–computer interaction, 15. Life on land, Computer science, Tampering Localization, Computer Science, Physical Sciences, Computer Vision and Pattern Recognition, Digital Image Forgery Detection and Identification, Law

Forged Video Detection Using Deep Learning: A SLR

Autori: Maryam Munawar Iram Noreen Raed Alharthi a ďalší

Zdroj: Applied Computational Intelligence and Soft Computing, Vol 2023 (2023)

Predmety: Artificial intelligence, FOS: Political science, Representation Learning, Convolutional neural network, FOS: Law, 02 engineering and technology, Mathematical analysis, Data science, Computer security, Field (mathematics), 0202 electrical engineering, electronic engineering, information engineering, Image Forgery Detection, FOS: Mathematics, Law enforcement, Political science, Splicing Detection, Digital forensics, Domain (mathematical analysis), Digital Image Watermarking Techniques, Digital video, Pure mathematics, Deep learning, QA75.5-76.95, 16. Peace & justice, Computer science, Digital Forensics, Generative Adversarial Networks in Image Processing, Electronic computers. Computer science, Computer Science, Physical Sciences, Telecommunications, Computer Vision and Pattern Recognition, Digital Image Forgery Detection and Identification, Law, Mathematics, Frame (networking)

Prístupová URL adresa: https://doaj.org/article/d489b7051497482bbf70eb38165189c9

Review on Watermarking Techniques Aiming Authentication of Digital Image Artistic Works Minted as NFTs into Blockchains

Autori: Joceli, Mayer

Zdroj: Information Security and Privacy in the Digital World-Some Selected Topics ISBN: 9781837699803

Predmety: Image Encryption, Artificial intelligence, Alternative medicine, Certification, FOS: Political science, Robustness (evolution), FOS: Law, Watermarking, Biochemistry, Gene, Transparency (behavior), Computer security, Image Forgery Detection, Image (mathematics), Pathology, Political science, Chaos-based Image Encryption Techniques, Network packet, Digital Image Watermarking Techniques, Computer science, Payload (computing), Chemistry, Color Image Encryption, Image Authentication, Authentication (law), Digital Watermarking Alliance, Computer Science, Physical Sciences, Watermark, Protocol (science), Medicine, Computer Vision and Pattern Recognition, Digital watermarking, Digital Image Forgery Detection and Identification, Law, Embedding

Prístupová URL adresa: https://mts.intechopen.com/articles/show/title/review-on-watermarking-techniques-aiming-authentication-of-digital-image-artistic-works-minted-as-nf

An NGram-Based Copyright Protection for Digital Images

Autori: Azzam Sleit Adel Abusitta

Zdroj: International Journal of Emerging Multidisciplinaries: Computer Science & Artificial Intelligence. 1:30-40

Predmety: Image Encryption, Artificial intelligence, Chaos-based Image Encryption Techniques, Digital Image Watermarking Techniques, Computer graphics (images), 4. Education, 02 engineering and technology, Watermarking, Computer science, Color Image Encryption, Image Authentication, Image processing, Computer Science, Physical Sciences, Watermark, Image Forgery Detection, Image (mathematics), 0202 electrical engineering, electronic engineering, information engineering, Computer vision, Computer Vision and Pattern Recognition, Digital watermarking, Digital Image Forgery Detection and Identification, Digital image

A Machine Learning Approach for Malware Detection based on Image Conversion

Autori: Abir Laouadi Djamel Eddine Menacer Karima Benatchba

Predmety: Artificial intelligence, Convolutional neural network, Pattern recognition (psychology), Malware, Residual neural network, Anomaly Detection in High-Dimensional Data, Grayscale, Characterization and Detection of Android Malware, Resampling Detection, Artificial Intelligence, Computer security, Machine learning, Image Forgery Detection, Image (mathematics), Data mining, Camera Model Identification, Splicing Detection, Deep learning, Computer science, 3. Good health, Detection, Signal Processing, Computer Science, Physical Sciences, Computer Vision and Pattern Recognition, Digital Image Forgery Detection and Identification