Artificial Intelligence in Image Processing

Sharon Susan Jacob

ISBN 10: 6208448034 / ISBN 13: 9786208448035

Published by LAP LAMBERT Academic Publishing Jun 2025, 2025

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -Artificial Intelligence in Image Processing: Concepts, Techniques, and Applications provides a comprehensive exploration of how AI revolutionizes the field of digital imaging. It starts by tracing the evolution of image processing from manual techniques to advanced AI-driven methods. The book introduces foundational concepts in both image processing and AI, and covers key techniques including CNNs, GANs, RNNs, transfer learning, and autoencoders. It addresses core applications such as classification, segmentation, enhancement, 3D imaging, and medical diagnostics. Real-world case studies across healthcare, industry, and surveillance illustrate practical deployments. Ethical considerations, technical challenges, and future trends-including edge computing, AR/VR integration, and human-AI collaboration-are also examined, making this book an essential guide for students, researchers, and professionals in the AI and imaging domains.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 276 pp. Englisch.

Seller Inventory # 9786208448035

Bibliographic Details

• Title: Artificial Intelligence in Image Processing
• Publisher: LAP LAMBERT Academic Publishing Jun 2025
• Publication Date: 2025
• Language: English
• ISBN 10: 6208448034
• ISBN 13: 9786208448035
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 17D millimeters 220 millimeters width by 150 millimeters height by 17 millimeters depth
• Weight: 429 grams

About this title

Synopsis

Artificial Intelligence in Image Processing: Concepts, Techniques, and Applications provides a comprehensive exploration of how AI revolutionizes the field of digital imaging. It starts by tracing the evolution of image processing from manual techniques to advanced AI-driven methods. The book introduces foundational concepts in both image processing and AI, and covers key techniques including CNNs, GANs, RNNs, transfer learning, and autoencoders. It addresses core applications such as classification, segmentation, enhancement, 3D imaging, and medical diagnostics. Real-world case studies across healthcare, industry, and surveillance illustrate practical deployments. Ethical considerations, technical challenges, and future trends—including edge computing, AR/VR integration, and human-AI collaboration—are also examined, making this book an essential guide for students, researchers, and professionals in the AI and imaging domains.