Vision Revive: AI Based Dehazing/De-Smoking Solution

Authors: Shukla, Harsh, Gaur, Jyoti, Pundir, Palak, Astya, Rani

Source: 2025 3rd International Conference on Inventive Computing and Informatics (ICICI) Inventive Computing and Informatics (ICICI), 2025 3rd International Conference on. :1-6 Jun, 2025

Relation: 2025 3rd International Conference on Inventive Computing and Informatics (ICICI)

Revolutionizing Industrial and Urban Growth with AI-Driven Dehazing Technology

Authors: Shukla, Harsh, Gaur, Jyoti, Pundir, Palak, Astya, Rani

Source: 2025 International Conference on Technology Enabled Economic Changes (InTech) Technology Enabled Economic Changes (InTech), 2025 International Conference on. :1444-1449 Feb, 2025

Relation: 2025 International Conference on Technology Enabled Economic Changes (InTech)

Quantum Adversarial Learning for Hyperspectral Remote Sensing

Authors: Lin, Chia-Hsiang, Kuo, Chen-Yu, Young, Si-Sheng

Source: IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium Geoscience and Remote Sensing Symposium, IGARSS 2024 - 2024 IEEE International. :7807-7811 Jul, 2024

Relation: IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium

A Comprehensive Survey on Passive Techniques for Digital Image Forgery Detection

Authors: Mohamed A. Abdelhamed, El-Sayed El-Rabie, Amira Baumy

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

Subject Terms: 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

Generating Multiple 4D Expression Transitions by Learning Face Landmark Trajectories

Authors: Naima Otberdout, C. Ferrari, Mohamed Daoudi, Stefano Berretti, Alberto Del Bimbo

Contributors: DAOUDI, Mohamed, Otberdout, Naima, Ferrari, Claudio, Daoudi, Mohamed, Berretti, Stefano, Bimbo, Alberto Del

Source: IEEE Transactions on Affective Computing. 15:566-578

Subject Terms: FOS: Computer and information sciences, Artificial intelligence, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, FOS: Mechanical engineering, 02 engineering and technology, Biochemistry, Gene, Graph, Landmark, [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Engineering, Facial Landmark Detection, Sociology, 0202 electrical engineering, electronic engineering, information engineering, Polygon mesh, 4D Facial Expression generation, Face Recognition and Analysis Techniques, Expression (computer science), ENCODE, 3D Face Reconstruction, Computer graphics (images), Motion (physics), Social science, Mechanical engineering, Vertex (graph theory), FOS: Sociology, Programming language, Algorithm, Chemistry, facial landmarks, Human Action Recognition and Pose Estimation, Physical Sciences, Computer Vision and Pattern Recognition, Facial expression, Face (sociological concept), 4D facial expression generation, facial landmarks, 3D meshes, Generalization, Representation Learning, Set (abstract data type), Mathematical analysis, Theoretical computer science, Facial Expression Analysis, FOS: Mathematics, Genetics, Biology, Topology (electrical circuits), Feature Learning, Manifold (fluid mechanics), Computer science, 4D Facial Expression generation facial landmarks 3D meshes, Generative Adversarial Networks in Image Processing, 3D meshes, Combinatorics, FOS: Biological sciences, Computer Science, Computer vision, Mathematics, Sequence (biology)

File Description: application/pdf

Access URL: http://arxiv.org/abs/2208.00050
https://hal.science/hal-04100664v1/document
https://hal.science/hal-04100664v1
https://doi.org/10.1109/taffc.2023.3280671

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

Authors: Syed Ali Raza, Usman Habib, Muhammad Usman, Adeel Ashraf Cheema, M. N. A. Khan

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

Subject Terms: 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

Access URL: https://doaj.org/article/a73e3acdc0184f0183c1d4a57d6ce288

An ensemble of CNNs with self-attention mechanism for DeepFake video detection

Authors: Khairuddin Omar, Rasha H. Sakr, Mohammed F. Alrahmawy

Source: Neural Computing and Applications. 36:2749-2765

Subject Terms: Artificial neural network, Artificial intelligence, Generative grammar, Generalization, 02 engineering and technology, Pattern recognition (psychology), Mathematical analysis, Deep Learning, Convolution (computer science), Facial Landmark Detection, Facial Expression Analysis, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, Image Forgery Detection, FOS: Mathematics, Face Recognition and Analysis Techniques, 10. No inequality, Feature Learning, 4. Education, Deep learning, 16. Peace & justice, Computer science, 3. Good health, Generative Adversarial Networks in Image Processing, Computer Science, Physical Sciences, Computer Vision and Pattern Recognition, Digital Image Forgery Detection and Identification, Classifier (UML), Mathematics, Generative model

Forged Video Detection Using Deep Learning: A SLR

Authors: Maryam Munawar, Iram Noreen, Raed Alharthi, Nadeem Sarwar

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

Subject Terms: 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)

Access URL: https://doaj.org/article/d489b7051497482bbf70eb38165189c9

TIC: text-guided image colorization using conditional generative model

Authors: Subhankar Ghosh, Prasun Roy, Sumanta Bhattacharya, Umapada Pal, Michael Blumenstein

Source: Multimedia Tools and Applications. 83:41121-41136

Subject Terms: Artificial intelligence, Generative grammar, Economics, Image Inpainting, Image Processing, 02 engineering and technology, Pattern recognition (psychology), Grayscale, Task (project management), 0202 electrical engineering, electronic engineering, information engineering, Image (mathematics), Encoding (memory), Image Enhancement Techniques, 4. Education, Automatic Video Summarization and Analysis, 15. Life on land, Computer science, Gamut, Color Transfer, Process (computing), Management, Programming language, Operating system, Generative Adversarial Networks in Image Processing, 13. Climate action, Computer Science, Physical Sciences, Fidelity, Telecommunications, Texture Synthesis, Image Synthesis, Pipeline (software), Computer vision, Computer Vision and Pattern Recognition

Street Object Detection from Synthesized and Processed Semantic Image: A Deep Learning Based Study

Authors: Parthaw Goswami, A. B. M. Aowlad Hossain

Source: Human-Centric Intelligent Systems, Vol 3, Iss 4, Pp 487-507 (2023)

Subject Terms: Conditional Generative Adversarial Network, Artificial intelligence, Object detection, Image Inpainting, 0211 other engineering and technologies, Convolutional neural network, Information technology, 02 engineering and technology, Pattern recognition (psychology), Pedestrian detection, Engineering, Object Detection, 11. Sustainability, 0202 electrical engineering, electronic engineering, information engineering, Image (mathematics), Image Enhancement Techniques, Street object detection, Image Recognition, Neural style transfer, Deep learning, Detector, QA75.5-76.95, Pedestrian, Transport engineering, 15. Life on land, T58.5-58.64, Computer science, Generative Adversarial Networks in Image Processing, 13. Climate action, Super-resolution, Electronic computers. Computer science, Computer Science, Physical Sciences, Telecommunications, Semantic image synthesis, Deep Learning in Computer Vision and Image Recognition, Image Synthesis, Texture Synthesis, Computer vision, Object (grammar), Computer Vision and Pattern Recognition

Access URL: https://doaj.org/article/43bf7faa22c4470c99709e5126970009

Algorithm Comparison and Evaluation of GAN Models Based on Image Transferring from Desert to Green Field

Authors: Z. Liu, Hongjun Li

Source: Advances in Multimedia, Vol 2023 (2023)

Subject Terms: Stereo Vision and Depth Estimation, Artificial intelligence, Generative grammar, Image Inpainting, 0211 other engineering and technologies, Representation Learning, Epistemology, 02 engineering and technology, Biochemistry, Gene, 7. Clean energy, Rendering, Field (mathematics), Image (mathematics), FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Computer Graphics and Visualization Techniques, Similarity (geometry), 2. Zero hunger, Generative Adversarial Networks, Pure mathematics, QA75.5-76.95, Desert (philosophy), 15. Life on land, Computer Graphics and Computer-Aided Design, Computer science, FOS: Philosophy, ethics and religion, Philosophy, Chemistry, Generative Adversarial Networks in Image Processing, 13. Climate action, Electronic computers. Computer science, Computer Science, Physical Sciences, Transformation (genetics), Texture Synthesis, Computer vision, Computer Vision and Pattern Recognition, Rendering (computer graphics), Mathematics

Access URL: https://doaj.org/article/1a7df3dbe4ae496ca4225f3133fb36a3

Exemplar-Based Texture Synthesis Using Two Random Coefficients Autoregressive Models

Authors: Ayoub Abderrazak Maarouf, Fella Hachouf, Soumia Kharfouchi

Source: Image Analysis and Stereology, Vol 42, Iss 1, Pp 37-49 (2023)

Subject Terms: Medicine (General), Artificial intelligence, Image Inpainting, FOS: Political science, 0211 other engineering and technologies, Representation Learning, FOS: Law, 02 engineering and technology, Pattern recognition (psychology), Autoregressive model, texture synthesis, Automated Reconstruction of Fragmented Objects, R5-920, Image processing, Shape Matching and Object Recognition, QA1-939, 0202 electrical engineering, electronic engineering, information engineering, Image (mathematics), FOS: Mathematics, Image texture, Political science, exemplar based method, 4. Education, Statistics, Politics, Texture Classification, Texture (cosmology), Texture synthesis, 15. Life on land, Computer science, Algorithm, 2d-rca models, Generative Adversarial Networks in Image Processing, Computer Science, Physical Sciences, Texture Synthesis, Image Synthesis, Computer Vision and Pattern Recognition, gmm, Representation (politics), Law, local approximated images, Mathematics

Access URL: https://doaj.org/article/4141f3c5c04b4baaaee90e86ac14cc6a

The Ethical Implications of DALL-E: Opportunities and Challenges

Authors: Kai-Qing Zhou, Hatem Nabus

Source: Mesopotamian Journal of Computer Science. 2023:16-21

Subject Terms: 0301 basic medicine, Explainable Artificial Intelligence, FOS: Political science, Social Sciences, FOS: Law, Engineering ethics, Creativity, Discipline, Unintended consequences, 03 medical and health sciences, Engineering, 0302 clinical medicine, Sociology, Artificial Intelligence, Business, 10. No inequality, Political science, Corporate governance, 9. Industry and infrastructure, 4. Education, Ethical Implications of Artificial Intelligence, Ethical issues, Responsibility in AI, FOS: Sociology, Generative Adversarial Networks in Image Processing, Computer Science, Physical Sciences, Computer Vision and Pattern Recognition, Safety Research, Law, Finance

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

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

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

Subject Terms: 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

A novel medical image enhancement algorithm based on CLAHE and pelican optimization

Authors: Yasser Radouane Haddadi, Boualem Mansouri, Fatima zohra Driss Khoudja

Source: Multimedia Tools and Applications. 83:90069-90088

Subject Terms: Artificial intelligence, Single Image Super-Resolution Techniques, Image Processing, Image Inpainting, Contrast Enhancement, Contrast (vision), Pattern recognition (psychology), Computer science, 3. Good health, Algorithm, Generative Adversarial Networks in Image Processing, Medical Imaging, Image processing, Computer Science, Physical Sciences, Image (mathematics), Adaptive histogram equalization, Image quality, Computer vision, Computer Vision and Pattern Recognition, Histogram equalization, Image Enhancement Techniques, Single Image Restoration

Deep Fake Detection Using Computer Vision-Based Deep Neural Network with Pairwise Learning

Authors: R. Saravana Ram, Mithilesh Kumar, Tareq M. Al-shami, Mehedi Masud, Hanan Aljuaid, Mohamed Abouhawwash

Source: Intelligent Automation & Soft Computing. 35:2449-2462

Subject Terms: Artificial neural network, Artificial intelligence, Image Inpainting, FOS: Political science, Unsupervised Learning, FOS: Law, 02 engineering and technology, Pattern recognition (psychology), Pairwise comparison, 7. Clean energy, Deep Learning, Deep belief network, Machine learning, Image Forgery Detection, 0202 electrical engineering, electronic engineering, information engineering, Political science, Digital Image Watermarking Techniques, Deep learning, 16. Peace & justice, Computer science, Generative Adversarial Networks in Image Processing, Image Authentication, Computer Science, Physical Sciences, Computer vision, Computer Vision and Pattern Recognition, Digital Image Forgery Detection and Identification, Pornography, Law

Enhancing Performance of Movie Recommendations Using LSTM With Meta Path Analysis

Authors: Zulfiqar Ali, Asif Muhammad, Ahmad Sami Al-Shamayleh, Kashif Naseer Qureshi, Wagdi Alrawagfeh, Adnan Akhunzada

Contributors: Qureshi, Kashif Naseer§0000-0003-3045-8402, ULRR

Source: IEEE Access, Vol 11, Pp 119017-119032 (2023)

Subject Terms: FOS: Computer and information sciences, Artificial intelligence, metapath instances, ablation analysis, Trust-Aware Recommender Systems, Epistemology, 7. Clean energy, Context-Aware Recommender Systems, Machine learning, Long short-term memory, Information retrieval, Image Quality Assessment in Multimedia Content, Recommender system, Data mining, Physics, deep learning, Content-Based Recommendation, Deep learning, Linguistics, Optics, Focus (optics), Computer science, TK1-9971, FOS: Philosophy, ethics and religion, 3. Good health, Philosophy, machine learning, Generative Adversarial Networks in Image Processing, Recommender System Technologies, metapath analysis, Computer Science, Physical Sciences, Quality (philosophy), FOS: Languages and literature, Recall, intra-metapath, inter-metapath, Electrical engineering. Electronics. Nuclear engineering, Computer Vision and Pattern Recognition, long short-term memory, Information Systems

File Description: application/pdf

Access URL: https://doaj.org/article/bcd672151d9d47f9a44489e176175c85

PTcomp: Post-Training Compression Technique for Generative Adversarial Networks

Authors: Dina Tantawy, Mohamed Zahran, Amr G. Wassal

Source: IEEE Access, Vol 11, Pp 9763-9774 (2023)

Subject Terms: Composite material, Artificial intelligence, Single Image Super-Resolution Techniques, Generative grammar, pruning, Representation Learning, 02 engineering and technology, Adversarial system, deep-learning, post-training, 7. Clean energy, 03 medical and health sciences, Resampling Detection, Meteorology, 0302 clinical medicine, Training (meteorology), 0202 electrical engineering, electronic engineering, information engineering, 2. Zero hunger, Generative Adversarial Networks, Conditional Generative Models, Physics, Compression, 15. Life on land, Computer science, Materials science, TK1-9971, Generative Adversarial Networks in Image Processing, Data compression, Computer Science, Physical Sciences, Compression (physics), Electrical engineering. Electronics. Nuclear engineering, Computer Vision and Pattern Recognition, generative adversarial networks, Digital Image Forgery Detection and Identification, clustering, JPEG Compression

Access URL: https://doaj.org/article/3eab85d204c74a459a2f39e0cf004016

Interactive image manipulation using morphological trees and spline-based skeletons

Authors: Jieying Wang, Dennis J. Silva, Jiří Kosinka, Alexandru Telea, Ronaldo F. Hashimoto, Jos B. T. M. Roerdink

Contributors: Sub Visualisation and Graphics, Visualisation and Graphics

Source: Computers & Graphics. 108:61-73

Subject Terms: Stereo Vision and Depth Estimation, Artificial intelligence, Image Inpainting, Feature (linguistics), Structural engineering, Image skeleton, Morphological tree, 02 engineering and technology, Visual Servoing, Rendering, Grayscale, Engineering, Spline (mechanical), Image (mathematics), 0202 electrical engineering, electronic engineering, information engineering, Computer Graphics and Visualization Techniques, Image editing, Visualization, Computer graphics (images), Linguistics, Image synthesis, Computer Graphics and Computer-Aided Design, Computer science, FOS: Philosophy, ethics and religion, Programming language, Philosophy, Generative Adversarial Networks in Image Processing, Computer Science, Physical Sciences, FOS: Languages and literature, Image Synthesis, Computer vision, Computer Vision and Pattern Recognition, Image manipulation, Software

File Description: application/pdf

Access URL: https://research.rug.nl/en/publications/a922861b-49f9-4f03-b110-12d663aa3a24
https://hdl.handle.net/11370/a922861b-49f9-4f03-b110-12d663aa3a24
https://doi.org/10.1016/j.cag.2022.09.002
https://research-portal.uu.nl/en/publications/e3c9c35f-5997-47bf-a6a1-c7ae3613dcce
https://doi.org/10.1016/j.cag.2022.09.002
https://dspace.library.uu.nl/handle/1874/431875

Proposed Detection Face Model by MobileNetV2 Using Asian Data Set

Authors: Phat Nguyen Huu, Vinh Tran-Quang, Chau Nguyen Le Bao, Quang Tran Minh

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

Subject Terms: Computer engineering. Computer hardware, Artificial intelligence, China, Face (sociological concept), Convolutional neural network, Set (abstract data type), Infectious disease (medical specialty), 02 engineering and technology, Motion Detection, Visual Object Tracking and Person Re-identification, TK7885-7895, Facial Landmark Detection, Sociology, Virology, Pathology, 0202 electrical engineering, electronic engineering, information engineering, Disease, Face Recognition and Analysis Techniques, Face masks, Public health, Pandemic, Geography, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Deep learning, Outbreak, Social science, Computer science, FOS: Sociology, Programming language, 3. Good health, Coronavirus disease 2019 (COVID-19), Generative Adversarial Networks in Image Processing, Archaeology, Computer Science, Physical Sciences, Medicine, Computer vision, Computer Vision and Pattern Recognition, 2019-20 coronavirus outbreak

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Access URL: https://doaj.org/article/75b540dc6f3f4976b28c74bce42fd628