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OverviewThis graduate textbook explains image geometry, and elaborates on image enhancement in spatial and frequency domain, unconstrained and constrained restoration and restoration from projection, and discusses various coding technologies such as predictive coding and transform coding. Rich in examples and exercises, it prepares electrical engineering and computer science students for further studies on image analysis and understanding. Full Product DetailsAuthor: Tsinghua University Press , Yujin ZhangPublisher: De Gruyter Imprint: De Gruyter Dimensions: Width: 17.00cm , Height: 1.60cm , Length: 24.00cm Weight: 0.577kg ISBN: 9783110520323ISBN 10: 311052032 Pages: 294 Publication Date: 07 August 2017 Audience: Professional and scholarly , Professional & Vocational , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: In stock  We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsTable of Content: Chapter 1 Introduction to Image Engineering 1.1 Basic Concepts of Images 1.2 Image Engineering 1.3 Organization and Overview of the Book 1.4 Summary Problems, Further Reading Chapter 2 Image Acquisition 2.1 Spatial Relationship in Image Formation 2.2 Image Brightness 2.3 Sampling and Quantization 2.4 Stereo Imaging 2.5 Summary Problems, Further Reading Chapter 3 Image Geometry 3.1 Relationships among Pixels 3.2 Distances 3.3 Image Coordinate Transformations 3.4 Distance Transforms 3.5 Geometric Transformations 3.6 General Morphic Transformations 3.7 Summary Problems, Further Reading Part 2 Image Processing Chapter 4 Image Transforms 4.1 Separable and Orthogonal Transforms 4.2 The Fourier Transform 4.3 Walsh and Hadamard Transforms 4.4 Discrete Cosine Transform 4.5 Gabor Transform 4.6 Wavelet Transform 4.7 The Hotelling Transform 4.8 Radon Transform 4.1 Summary Problems, Further Reading Chapter 5 Image Enhancement 5.1 Image Operations 5.2 Direct Gray-Level Mapping 5.3 Histogram Transforms 5.4 Frequency Filtering 5.5 Linear Spatial Filtering 5.6 Non-Linear Spatial Filtering 5.7 Color Image Enhancement 5.8 Summary Problems , Further Reading Chapter 6 Image Restoration 6.1 Degradation and Noise 6.2 Degradation Model and Restoration Computation 6.3 Techniques for Unconstrained Restoration 6.4 Techniques for Constrained Restoration 6.5 Interactive Restoration 6.6 Summary Problems, Further Reading Chapter 7 Image Reconstruction from Projection 7.1 Modes and Principles 7.2 Reconstruction by Fourier-Inversion 7.3 Convolution and Back Projection 7.4 Algebraic Reconstruction 7.5 Combined Reconstruction 7.6 Summary Problems, Further Reading Chapter 8 Image Coding 8.1 Fundamentals 8.2 Variable Length Coding 8.3 Bit-Plane Coding 8.4 Predictive Coding 8.5 Transform Coding 8.6 Summary Problems, Further ReadingReviewsSehr gut zur Vertiefung geeignet. Prof. Dr. G nther G rz, Friedrich-Alexander-Universit t Erlangen-N rnberg Sehr gut zur Vertiefung geeignet. Prof. Dr. Gunther Goerz, Friedrich-Alexander-Universitat Erlangen-Nurnberg Sehr gut zur Vertiefung geeignet. Prof. Dr. Gunther Goerz, Friedrich-Alexander-Universitat Erlangen-Nurnberg Sehr gut zur Vertiefung geeignet. Prof. Dr. Gunther Goerz, Friedrich-Alexander-Universitat Erlangen-Nurnberg Author InformationYujin Zhang, Tsinghua University, Beijing, China Tab Content 6Author Website:Countries AvailableAll regions |
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