Guest Editors

Prof.  Yousef Farhaoui, Moulay Ismail University, Morocco

Research areas: Computer Science, AI, Image Processing, Big Data

Prof. Hamed Taherdoost, Chair of RSAC at University Canada West, Canada

Research areas: Computer Science, C.Cyber

Prof. Mohamed Fnadi, University of the Littoral Côte d'Opale, France

Research areas: Computer Science

Scope

With the rapid advancement of artificial intelligence (AI), image processing and graphics have undergone significant transformations. AI-driven techniques have enhanced efficiency, automation, and accuracy in various domains, including healthcare, security, multimedia, and computational imaging. However, challenges such as model interpretability, computational efficiency, and ethical concerns remain critical areas of research.

This special issue aims to provide a platform for researchers, academicians, and industry professionals to present cutting-edge research on AI-driven image processing and graphics. We welcome original research, review articles, and case studies focusing on innovative techniques, applications, and theoretical advancements.

1. AI Techniques in Image Processing
• Deep learning for image classification, segmentation, and object detection
• Generative adversarial networks (GANs) for image synthesis and enhancement
• AI-powered super-resolution and image denoising
• Few-shot and zero-shot learning in image processing
• Self-supervised and unsupervised learning approaches

2. Computational Imaging and Graphics
• AI-enhanced computational photography
• Neural rendering and image-based graphics generation
• AI-driven visual effects and animation
• 3D image reconstruction using deep learning
• Real-time image processing for augmented and virtual reality (AR/VR)

3. AI for Medical and Scientific Imaging
• AI-assisted medical image analysis and diagnosis
• Image-based disease detection and biomarker identification
• AI-driven radiology, pathology, and ophthalmology imaging
• Explainable AI (XAI) in medical imaging
• Privacy-preserving AI techniques for healthcare imaging

4. Security and Ethical Considerations in AI-Driven Imaging
• AI-generated deepfakes and countermeasures
• Bias detection and fairness in AI-based image analysis
• Adversarial attacks and defense mechanisms in computer vision
• Ethical considerations in AI-generated content
• AI for forgery and tamper detection in digital media

5. AI-Driven Image Compression and Transmission
• AI-driven optimization for multimedia streaming and transmission
• Edge and cloud-based AI for real-time image processing
• AI-enhanced visual data retrieval and indexing

6. Emerging Trends and Future Directions
• Quantum computing for image processing
• Bio-inspired AI techniques in image processing and graphics
• AI-based multi-modal fusion for vision and language
• Large language models (LLMs) in image analysis and description
• AI integration with IoT for smart imaging applications

Authors are invited to submit high-quality original research articles, review papers, and case studies. Manuscripts should be prepared according to the journal’s submission guidelines and must not have been published or under review elsewhere.

Make a new submission to the Special Issue: Advancements in AI-Driven Image Processing and Graphics: Techniques, Applications, and Challenges section.