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Introduction | |
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What Is Digital Image Processing? The Origins of Digital Image Processing | |
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Examples of Fields that Use Digital Image Processing | |
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Fundamental Steps in Digital Image Processing | |
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Components of an Image Processing System | |
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Digital Image Fundamentals | |
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Elements of Visual Perception | |
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Light and the Electromagnetic Spectrum | |
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Image Sensing and Acquisition | |
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Image Sampling and Quantization | |
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Some Basic Relationships Between Pixels | |
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Linear and Nonlinear Operations | |
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Image Enhancement in the Spatial Domain | |
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Background | |
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Some Basic Gray Level Transformations | |
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Histogram Processing | |
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Enhancement Using Arithmetic/Logic Operations | |
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Basics of Spatial Filtering | |
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Smoothing Spatial Filters | |
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Sharpening Spatial Filters | |
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Combining Spatial Enhancement Methods | |
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Image Enhancement in the Frequency Domain | |
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Background | |
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Introduction to the Fourier Transform and the Frequency Domain | |
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Smoothing Frequency-Domain Filters | |
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Sharpening Frequency Domain Filters | |
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Homomorphic Filtering | |
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Implementation | |
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Image Restoration | |
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A Model of the Image Degradation/Restoration Process | |
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Noise Models | |
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Restoration in the Presence of Noise Only-Spatial Filtering | |
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Periodic Noise Reduction by Frequency Domain Filtering | |
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Linear, Position-Invariant Degradations | |
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Estimating the Degradation Function | |
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Inverse Filtering | |
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Minimum Mean Square Error (Wiener) Filtering | |
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Constrained Least Squares Filtering | |
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Geometric Mean Filter | |
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Geometric Transformations | |
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Color Image Processing | |
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Color Fundamentals | |
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Color Models | |
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Pseudocolor Image Processing | |
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Basics of Full-Color Image Processing | |
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Color Transformations | |
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Smoothing and Sharpening | |
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Color Segmentation | |
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Noise in Color Images | |
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Color Image Compression | |
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Wavelets and Multiresolution Processing | |
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Background | |
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Multiresolution Expansions | |
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Wavelet Transforms in One Dimension | |
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The Fast Wavelet Transform | |
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Wavelet Transforms in Two Dimensions | |
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Wavelet Packets | |
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Image Compression | |
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Fundamentals | |
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Image Compression Models | |
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Elements of Information Theory | |
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Error-Free Compression | |
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Lossy Compression | |
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Image Compression Standards | |
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Morphological Image Processing | |
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Preliminaries | |
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Dilation and Erosion | |
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Opening and Closing | |
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The Hit-or-Miss Transformation | |
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Some Basic Morphological Algorithms | |
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Extensions to Gray-Scale Images | |
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Image Segmentation | |
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Detection of Discontinuities | |
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Edge Linking and Boundary Detection | |
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Thresholding | |
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Region-Based Segmentation | |
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Segmentation by Morphological Watersheds | |
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The Use of Motion in Segmentation | |
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Representation and Description | |
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Representation | |
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Boundary Descriptors | |
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Regional Descriptors | |
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Use of Principal Components for Description | |
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Relational Descriptors | |
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Object Recognition | |
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Patterns and Pattern Classes | |
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Recognition Based on Decision-Theoretic Methods | |
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Structural Methods | |