Digital Image Processing: Part I

This book introduces the fundamental theories of modern digital image processing including intensity transformations, filtering in the frequency and spatial domain, restoration, colour processing, morphological operations, and segmentation. It aims to help the students, scientists, and practitioners to understand the concepts through illustrations and examples. Content 1. Introduction 1.1. Digital image processing 1.2. Purpose of digital image processing 1.3. Application areas that use digital image processing 1.4. Components of an image processing system 1.5. Visual perception 1.6. Image acquisition 1.7. Image sampling and quantization 1.8. Basic relationship between pixels 1.9. Summary 1.10. References 1.11. Problems 2. Intensity transformations and spatial filtering 2.1. Preliminaries 2.2. Basic Intensity Transformation Functions 2.3. Histogram Processing 2.4. Fundamentals of Spatial Filtering 2.5. Smoothing Spatial Filters 2.6. Sharpening filters 2.7. Combining image enhancement methods 2.8. Summary 2.9. References 2.10. Problems 3. Filtering in the Frequency Domain 3.1. Background 3.2. Preliminaries 3.3. Sampling and the Fourier Transform of Sampled Functions 3.4. Discrete Fourier Transform 3.5. Extension to Functions of Two Variables 3.6. Some Properties of the 2-D Discrete Fourier Transform 3.7. The Basics of Filtering in the Frequency Domain 3.8. Image Smoothing Using Frequency Domain Filters 3.9. Image Sharpening Using Frequency Domain Filters 3.10. Summary 3.11. References and Further Reading 3.12. Problems 4. Image Restoration 4.1. Image degradation and restoration 4.2. Noise analysis 4.3. Restoration with spatial analysis 4.4. Restoration with frequency analysis 4.5. Motion blur and image restoration 4.6. Geometric transformation 4.7. Summary 4.8. References 4.9. Problems Sisältö Introduction Digital image processing Purpose of digital image processing Application areas that use digital image processing Components of an image processing system Visual perception Image acquisition Image sampling and quantization Basic relationship between pixels Summary References Problems Intensity transformations and spatial filtering Preliminaries Basic Intensity Transformation Functions Histogram Processing Fundamentals of Spatial Filtering Smoothing Spatial Filters Sharpening filters Combining image enhancement methods Summary References Problems Filtering in the Frequency Domain Background Preliminaries Sampling and the Fourier Transform of Sampled Functions Discrete Fourier Transform Extension to Functions of Two Variables Some Properties of the 2-D Discrete Fourier Transform The Basics of Filtering in the Frequency Domain Image Smoothing Using Frequency Domain Filters Image Sharpening Using Frequency Domain Filters Summary References and Further Reading Problems Image Restoration Image degradation and restoration Noise analysis Restoration with spatial analysis Restoration with frequency analysis Motion blur and image restoration Geometric transformation Summary References Problems Obsah Introduction Digital image processing Purpose of digital image processing Application areas that use digital image processing Components of an image processing system Visual perception Image acquisition Image sampling and quantization Basic relationship between pixels Summary References Problems Intensity transformations and spatial filtering Preliminaries Basic Intensity Transformation Functions Histogram Processing Fundamentals of Spatial Filtering Smoothing Spatial Filters Sharpening filters Combining image enhancement methods Summary References Problems Filtering in the Frequency Domain Background Preliminaries Sampling and the Fourier Transform of Sampled Functions Discrete Fourier Transform Extension to Functions of Two Variables Some Properties of the 2-D Discrete Fourier Transform The Basics of Filtering in the Frequency Domain Image Smoothing Using Frequency Domain Filters Image Sharpening Using Frequency Domain Filters Summary References and Further Reading Problems Image Restoration Image degradation and restoration Noise analysis Restoration with spatial analysis Restoration with frequency analysis Motion blur and image restoration Geometric transformation Summary References Problems This book (vol.1 and vol.2) introduces the fundamental theories of modern digital image processing including intensity transformations, filtering in the frequency and spatial domain, restoration, colour processing, morphological operations, and segmentation. You can download the book for free via the link below.