Handbook of Image Engineering

2. Auflage 2027
ISBN: 978-981-9271-12-2
Verlag: Springer

Buch, Englisch, Format (B × H): 155 mm x 235 mm

This second edition of the Handbook of Image Engineering offers a thoroughly expanded and updated reference for the rapidly evolving field of image engineering. Building on the success of the first edition, which attracted more than 100,000 accesses, the new edition extends coverage from 10,000 to 15,000 entries, providing an even more comprehensive and well-structured knowledge base. 

The handbook systematically integrates image processing, image analysis, image understanding, and applications, presenting concise definitions, principles, and explanations alongside practical techniques, illustrative examples, and advanced methodologies. Topics range from image acquisition, coding, enhancement, restoration, and security to segmentation, recognition, 3D reconstruction, spatiotemporal fusion, and deep learning. Critical challenges—such as high-precision image recovery and complex scene interpretation—are introduced with selected solutions, encouraging further exploration. 

Designed for a broad professional readership, the volume serves multiple purposes: 

A clear introduction for newcomers entering the field of image technology. 

A concise summary for students consolidating their learning. 

A practical reference for engineers addressing application-driven problems. 

A comprehensive resource for researchers seeking advanced insights and interdisciplinary connections. With its authoritative coverage, refined organization, and accessible format, this handbook is an indispensable reference for academics, professionals, and practitioners engaged in computer vision, image engineering, and related disciplines.

Zielgruppe

Research

Autoren/Hrsg.

Zhang, Yu-Jin

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Professionelle Anwendung Multimedia

Inhaltsverzeichnis

.- Part 1 Image Fundamentals.- 1 Image Basics.- 2 Image Engineering.- 3 Image Acquisition Devices.- 4 Image Acquisition Modes.- 5 Image Digitization .- 6 Image Display and Printing.- 7 Image Storage and Communication.- 8 Related Knowledge .- Part 2 Image Processing.- 9 Pixel Spatial Relationship.- 10 Image Transforms.- 11 Point Operations for Spatial Domain Enhancement.- 12 Mask Operations for Spatial Domain Enhancement.- 13 Frequency Domain Filtering.- 14 Image Restoration.- 15 Image Repair and Recovery.- 16 Image Reconstruction from Projection.- 17 Image Coding.- 18 Image Watermarking.- 19 Image Information Security .- 20 Color Image Processing.- 21 Video Image Processing.- 22  Multi-Resolution Image.- Part 3  Image Analysis.- 23 Segmentation Introduction.- 24 Edge Detection.- 25 Object Segmentation Methods.- 26 Segmentation Evaluation.- 27 Object Representation.- 28 Object Description.- 29 Feature Measurement and Error Analysis.- 30 Texture Analysis.-31 Shape Analysis.- 32 Motion Analysis.- 33 Image Pattern Recognition.- 34 Biometric Recognition.- Part 4 Image Understanding.- 35 Theory of Image Understanding.- 36 3-D Representation and Description.- 37 Stereo Vision.- 38 Multi-image 3-D Scene Reconstruction.- 39 Single-image 3D Scene Reconstruction.- 40 Knowledge and Learning.- 41 General Image Matching.- 42 Scene Analysis and Interpretation.- 43 Image Information Fusion.- 44 Content-Based Retrieval.- 45 Spatial-Temporal Behavior Understanding.- Part 5 Related References.- 46 Related Theories and Techniques.- 47 Optics.- 48 Mathematical Morphology for Binary Images.- 49 Mathematical Morphology for Gray-Level Images.- 50 Visual Sensation and Perception.- 51 Application of Image Technology.- 52 International Organizations and Standards.

Über Autor(innen)

Yu-Jin Zhang is Professor of Image Engineering at Tsinghua University, Beijing, where he has been a faculty member since 1993. He received his Ph.D. in Applied Science from the State University of Liège, Belgium, in 1989, and subsequently conducted postdoctoral research at Delft University of Technology in the Netherlands. Professor Zhang is internationally recognized as a leading authority in image engineering, with research spanning image processing, analysis, and understanding. He has authored more than 550 peer-reviewed papers and over 20 academic books, including Handbook of Image Engineering (Springer, 2021), A Selection of Image Processing Techniques (CRC Press, 2022), A Selection of Image Analysis Techniques (CRC Press, 2023), A Selection of Image Understanding Techniques (CRC Press, 2023), 3-D Computer Vision: Foundations and Advanced Methodologies (Springer, 2024), and Spatiotemporal Image Understanding: Action, Activity and Behavior (Springer. 2026). His textbooks (more than 40) and handbooks have collectively reached hundreds of thousands of readers worldwide, shaping both academic research and professional practice in computer vision and image engineering.

He is a Fellow of SPIE and the China Society of Image and Graphics (CSIG), and has served as Program Chair for numerous international conferences, including ICIP 2017. Beyond his academic achievements, Professor Zhang is known for his passion for teaching and has developed more than ten specialized courses at Tsinghua University and abroa.