Artificial Intelligence in Digital Image Processing by Hang Chen(.PDF)
File Size: 93.6 MB
Artificial Intelligence in Digital Image Processing: Theories, Methods, and Applications (Studies in Computational Intelligence) by Hang Chen, Zhengjun Liu
Requirements: .ePUB, .PDF reader, 93.6 MB | True PDF, True EPUB
Overview: 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 and build practical skills. The Chapter 1 offers a comprehensive exposition of the fundamental theories and key techniques of Deep Learning, encompassing its core concepts, foundational models, learning objectives, optimization strategies, and representative architectures. We hope this book serves as a valuable resource: for students, a textbook to build from AI fundamentals to specialized applications; for researchers, a reference to explore frontiers like deepfake detection, adaptive cryptography, and generative image translation; and for practitioners, a guide to translating academic innovation into solutions for remote sensing, healthcare, and image security.
Genre: Non-Fiction > Tech & Devices
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