文件名称：Image Processing for Computer Graphics and Vision (2rd Edition)
文件大小：15.11MB
文件格式：RAR
更新时间：2013-02-16 08:39:54
Image Graphics Vision
Contents: Preface 1 Introduction 1.1 Computer Graphics 1.2 Abstraction Paradigms 1.3 About This Book 1.4 Comments and References 2 Signal Theory 2.1 Abstraction Paradigms 2.2 Mathematical Models for Signals 2.3 Linear Representation of Signals 2.4 Operations on Signals 2.5 Sampling Theory 2.6 Operations in the Discrete Domain 2.7 The Inverse Discrete Transform 2.8 The Discrete Transform on the Interval [0,A] 2.9 Matrix Representation of the DFT 2.10 The Fast Fourier Transform 2.11 Finite Transform 2.12 Comments and References 3 Random Processes 3.1 Random Variables 3.2 Stochastic Processes 3.3 Point Processes 3.4 Comments and References 4 Fundamentals of Color 4.1 Paradigms in the Study of Color 4.2 The Physical Universe of Color 4.3 The Mathematical Universe of Color 4.4 The Representation Universe of Color 4.5 CIE-RGB Representation 4.6 Luminance and Chrominance 4.7 The Color Solid 4.8 Grassmann’s Laws 4.9 Comments and References 5 Color Systems 5.1 Preliminary Notions 5.2 Changing Between Color Systems 5.3 Color Systems and Computer Graphics 5.4 Standard Color Systems 5.5 Device Color Systems 5.6 Color Interface Systems 5.7 Computational Color Systems 5.8 Color Transformations 5.9 Comments and References 6 Digital Images 6.1 Abstraction Paradigms for Images 6.2 The Spatial Model 6.3 Comments and References 7 Operations on Images 7.1 Arithmetic Operations 7.2 Filters 7.3 Spatially Invariant Linear Filters 7.4 Examples of Linear Filters 7.5 Edge Enhancement Operations 7.6 Comments and References 8 Sampling and Reconstruction 8.1 Sampling 8.2 Reconstruction 8.3 Aliasing 8.4 Reconstruction Problems 8.5 Some Classical Reconstruction Filters 8.6 A Study of Reconstruction Problems 8.7 Reconstructing After Aliasing 8.8 A Case Study 8.9 Comments and References 9 Multiscale Analysis and Wavelets 9.1 The Wavelet Transform 9.2 The Discrete Wavelet Transform 9.3 Multiresolution Representation 9.4 Multiresolution Representation and Wavelets 9.5 The Fast Wavelet Transform 9.6 Wavelet Decomposition and Reconstruction 9.7 The Fast Wavelet Transform Algorithm 9.8 Images and 2D-Wavelets 9.9 Comments and References 10 Probabilistic Image Models 10.1 Image Formation 10.2 Observed Data 10.3 Histograms and Estimation 10.4 Correlated Observations 10.5 Filtering 10.6 Classes 10.7 Comments and References 11 Color Quantization 11.1 Quantization Cells 11.2 Quantization and Perception 11.3 Quantization Error 11.4 Uniform and Adaptive Quantization 11.5 Adaptive Quantization Methods 11.6 Optimization Methods for Quantization 11.7 Optimal One-Dimensional Quantization 11.8 Optimal Quantization by Relaxation 11.9 Comments and References 12 Digital Halftoning 12.1 Dithering 12.2 Periodic Dithering 12.3 Pattern Dithering 12.4 Nonperiodic Dithering 12.5 Comments and References 13 Image Compression 13.1 Image Encoding 13.2 Image Compression XIV Contents 13.3 Compression and Multiscale Analysis 13.4 Comments and References 14 Combining Images 14.1 Preliminaries 14.2 Combining Images Algebraically 14.3 Combining Images by Decomposing the Domain 14.4 Combining Images in the Discrete Domain 14.5 Computation of the Opacity Function 14.6 Compositing in the Discrete Domain 14.7 Compositing Operations 14.8 Comments and References 15 Warping and Morphing 15.1 Warping Filters 15.2 Warping in the Continuous Domain 15.3 Warping in the Discrete Domain 15.4 Some Examples 15.5 Warping in Practice 15.6 Morphing 15.7 Continuous Families of Transformations 15.8 Comments and References 16 Image Systems 16.1 Image Characteristics 16.2 Image Display 16.3 Cross Rendering 16.4 Color Correction 16.5 Display Models 16.6 Electronic Publishing Systems 16.7 Comments and References A Appendix: Radiometry and Photometry A.1 Radiometry A.2 Photometric Variables A.3 Comments and References Index
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Image Processing for Computer Graphics and Vision (Second Edition).pdf