Zhengjun Liu - Böcker

This book provides the readers with a comprehensive overview of principles methodologies and recent advances in image, signal, and video processing using different system. This book is used as the handbook of postgraduates course, such as image processing, signal processing, and optical information security.

This book provides the readers with a comprehensive overview of principles methodologies and recent advances in image, signal, and video processing using different system. This book is used as the handbook of postgraduates course, such as image processing, signal processing, and optical information security.

This book is a focused, practice-driven resource organized around 10 key thematic sections, blending foundational AI knowledge with cutting-edge digital image processing applications—ideal for bridging theory and real-world use. It avoids generic coverage, instead diving into specialized, high-demand topics like deep learning fundamentals, deepfake technology, adversarial attacks in computer vision, adaptive cryptography, and generative AI-driven SAR-to-optical image translation. As a postgraduate handbook, it aligns perfectly with courses such as “AI Image Processing,” “Advanced Signal Processing,” and “Optical Information Security,” helping students grasp core concepts (e.g., Q-learning for cancer detection-related image segmentation, deep learning-based remote sensing classification) and build practical skills.Beyond academia, it caters to a broad range of users: researchers and faculty gain insights into novel directions like secure image processing via optical cryptography and automated dataset generation (SciData-Factory), while industry professionals in remote sensing (secure data handling with dynamic optical transforms), cybersecurity (adversarial defense), and medical imaging (AI-aided cancer detection) find actionable solutions for real-world challenges. Self-learners and career changers benefit from its foundational content and coverage of in-demand skills (aligned with certifications like IEEE Signal Processing), and educational institutions or corporate L&D programs (tech, aerospace, healthcare) can adopt it for upskilling. Supplementary online resources—including topic-specific code and lecture slides—add further value, making the book essential for anyone working in AI-driven image processing.

It combines fast imaging, super-resolution imaging and large field of view imaging, improving the performance of the imaging system in many aspects.

This book highlights a comprehensive introduction to the principles and calculation methods of computational optical imaging. Integrating optical imaging and computing technology to achieve significant performance improvements, computational optical imaging has become an active research field in optics.