Innovations in Image and Signal Processing for Intelligent Systems: From Pattern Recognition to Fake/Forgery Detection

Dear Colleagues,

This Special Issue aims to showcase state-of-the-art research that bridges foundational theory with real-world implementation. It invites original contributions on advanced feature extraction, representation learning, generative and self-supervised models, multimodal fusion, edge and embedded intelligence and computationally efficient frameworks for large-scale deployment. Emphasis is placed on robustness under uncertainty, partial observability, noisy environments and adversarial settings that increasingly characterize modern data ecosystems.

A central theme of this issue is the growing threat of synthetic manipulation and digital forgery. Submissions addressing deepfake detection, image and signal authentication, watermarking, forensic analysis, explainability, fairness and trustworthy AI are particularly encouraged. The issue also welcomes interdisciplinary approaches that integrate statistical modelling, optimization, signal theory and machine learning to enhance reliability and interpretability.

By consolidating emerging methodologies and application-driven innovations, this Special Issue seeks to advance secure, resilient and intelligent systems capable of operating responsibly in complex and evolving technological landscapes.

Topics of Interest (include but are not limited to):

• Advanced image and signal processing algorithms
• Feature extraction and representation learning
• Classical and deep-learning-based pattern recognition
• Self-supervised and generative models for vision and signals
• Multimodal data fusion and cross-domain learning
• Real-time and edge-based intelligent processing
• Signal enhancement, denoising and reconstruction
• Adversarial learning and robustness in intelligent systems
• Deepfake detection and synthetic media analysis
• Digital image and signal forensics
• Image and signal authentication, watermarking and integrity verification
• Explainable and trustworthy AI for perception systems
• Biometric recognition and security applications
• Medical image and biomedical signal analysis
• Surveillance, remote sensing and autonomous perception systems

Dr. Muhammad Tariq Mahmood
Guest Editor

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