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Köp båda 2 för 1310 kr1 Introduction
1.1 What is Digital Image Processing?
1.2 The Origins of Digital Image Processing
1.3 Examples of Fields that Use Digital Image Processing
1.4 Fundamental Steps in Digital Image Processing
1.5 Components of an Image Processing System
2 Digital Image Fundamentals
2.1 Elements of Visual Perception
2.2 Light and the Electromagnetic Spectrum
2.3 Image Sensing and Acquisition
2.4 Image Sampling and Quantization
2.5 Some Basic Relationships Between Pixels
2.6 Introduction to the Basic Mathematical Tools Used in Digital Image Processing
3 Intensity Transformations and Spatial Filtering
3.1 Background
3.2 Some Basic Intensity Transformation Functions
3.3 Histogram Processing
3.4 Fundamentals of Spatial Filtering
3.5 Smoothing (Lowpass) Spatial Filters
3.6 Sharpening (Highpass) Spatial Filters
3.7 Highpass, Bandreject, and Bandpass Filters from Lowpass Filters
3.8 Combining Spatial Enhancement Methods
4 Filtering in the Frequency Domain
4.1 Background
4.2 Preliminary Concepts
4.3 Sampling and the Fourier Transform of Sampled Functions
4.4 The Discrete Fourier Transform of One Variable
4.5 Extensions to Functions of Two Variables
4.6 Some Properties of the 2-D DFT and IDFT
4.7 The Basics of Filtering in the Frequency Domain
4.8 Image Smoothing Using Lowpass Frequency Domain Filters
4.9 Image Sharpening Using Highpass Filters
4.10 Selective Filtering
4.11 The Fast Fourier Transform
5 Image Restoration and Reconstruction
5.1 A Model of the Image Degradation/Restoration Process
5.2 Noise Models
5.3 Restoration in the Presence of Noise OnlySpatial Filtering
5.4 Periodic Noise Reduction Using Frequency Domain Filtering
5.5 Linear, Position-Invariant Degradations
5.6 Estimating the Degradation Function
5.7 Inverse Filtering
5.8 Minimum Mean Square Error (Wiener) Filtering
5.9 Constrained Least Squares Filtering
5.10 Geometric Mean Filter
5.11 Image Reconstruction from Projections
6 Color Image Processing
6.1 Color Fundamentals
6.2 Color Models
6.3 Pseudocolor Image Processing
6.4 Basics of Full-Color Image Processing
6.5 Color Transformations
6.6 Color Image Smoothing and Sharpening
6.6 Using Color in Image Segmentation
6.8 Noise in Color Images
6.9 Color Image Compression
7 Wavelet and Other Image Transforms
7.1 Preliminaries
7.2 Matrix-based Transforms
7.3 Correlation
7.4 Basis Functions in the Time-Frequency Plane
7.5 Basis Images