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Digital Image Processing and Image Acquisition / by Bernd Jähne.
Springer Nature - Springer Computer Science eBooks 2026 English International Available online
View online- Format:
- Book
- Author/Creator:
- Jähne, Bernd.
- Series:
- Computer Science Series
- Language:
- English
- Subjects (All):
- Image processing.
- Signal processing.
- Image processing--Digital techniques.
- Computer vision.
- Image Processing.
- Signal, Speech and Image Processing.
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Local Subjects:
- Image Processing.
- Signal, Speech and Image Processing.
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Physical Description:
- 1 online resource (727 pages)
- Edition:
- 7th ed. 2026.
- Place of Publication:
- Cham : Springer Nature Switzerland : Imprint: Springer, 2026.
- Summary:
- This textbook provides students and users with the knowledge necessary to successfully acquire and process image data. The fact that image acquisition and image processing are based on similar mathematical concepts is recognized throughout. Great emphasis has been placed on presenting the sometimes complex relationships in a descriptive and mathematically sound manner. This 7th edition of the successful textbook, first published in 1991, has been restructured. The section on image acquisition has been significantly expanded to reflect the rapid developments in image sensor technology, optics, and methods for reconstructing three-dimensional worlds from image data. The emphasis is on explaining the basic concepts so that readers can understand and learn to optimize the variety of image acquisition methods that may seem confusing at first. Artificial intelligence methods are not included in this book. Instead, this book provides the necessary knowledge about image acquisition and processing to apply machine learning methods to image analysis effectively. The Author Bernd Jähne is senior professor at the Interdisciplinary Center for Scientific Computing (IWR) and the Institute of Environmental Physics (IUP) of Heidelberg University. From 2008 to 2017 he was coordinating director of the Heidelberg Collaboratory for Image processing (HCI), an industry-on-campus project of Heidelberg University and from 2008 to 2016 deputy director of the IWR. He is also founder and chair of the Heidelberg Image Processing Forum since 1995, chair of the EMVA 1288 standardization group since 2008, and was vice president of the European Machine Vision Association from 2021 -2024. He is author of a several text books and handbooks on Digital Image Processing and Computer Vision published in German, English, and Russian language.
- Contents:
- Introduction
- IMAGE FORMATION: Radiation and Quantitative Image Formation
- 2-D Image Acquisition
- Radiation Detection and Image Sensors
- Sampling and Interpolation
- Discrete Image Representation
- Radiometric and Geometric Image Correction
- 3-D Image Acquisition and Light Fields
- 3-D Imaging with Active Illumination
- IMAGE PROCESSING: Neighborhood Operators and Local Structure
- Averaging and Noise Suppression
- Discontinuities: Edges, Lines, Surfaces, and Corners
- Local Orientation, Local Wave Number and Phase
- Motion
- Scale Spaces and Multigrid Structures
- Textur and Complex Features
- Regularization and Modeling
- Morphology and Form Analysis
- MATHEMATICAL FOUNDATION AND REFERENCE MATERIAL: Notation
- Vector Spaces and Unitary Transforms
- Statistics, Regression and Optimization
- Reference Material.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 9783032048066
- OCLC:
- 1572216451
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