Digital Image Processing: Part I

par Huiyu Zhou;Jiahua Wu;Jianguo Zhang
( 18 )
71 pages
This book (vol.1 and vol.2) introduces the fundamental theories of modern digital image processing including intensity transformations, filtering in the frequency...
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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. It aims to help the students, scientists, and practitioners to understand the concepts through illustrations and examples

Digital image processing is an important research area. The techniques developed in this area so far require to be summarized in an appropriate way. In this book, the fundamental theories of these techniques will be introduced. Particularly, their applications in image denoising, restoration, and segmentation will be introduced. The entire book consists of four chapters, which will be subsequently introduced.

In Chapter 1, basic concepts in digital image processing are described. Chapter 2 will see the details of image transform and spatial filtering schemes. Chapter 3 introduces the filtering strategies in the frequency domain, followed by a review of image restoration approaches described in Chapter 4.

  1. Introduction
    1. Digital image processing
    2. Purpose of digital image processing
    3. Application areas that use digital image processing
    4. Components of an image processing system
    5. Visual perception
    6. Image acquisition
    7. Image sampling and quantization
    8. Basic relationship between pixels
    9. Summary
    10. References
    11. Problems
  2. Intensity transformations and spatial filtering
    1. Preliminaries
    2. Basic Intensity Transformation Functions
    3. Histogram Processing
    4. Fundamentals of Spatial Filtering
    5. Smoothing Spatial Filters
    6. Sharpening filters
    7. Combining image enhancement methods
    8. Summary
    9. References
    10. Problems
  3. Filtering in the Frequency Domain
    1. Background
    2. Preliminaries
    3. Sampling and the Fourier Transform of Sampled Functions
    4. Discrete Fourier Transform
    5. Extension to Functions of Two Variables
    6. Some Properties of the 2-D Discrete Fourier Transform
    7. The Basics of Filtering in the Frequency Domain
    8. Image Smoothing Using Frequency Domain Filters
    9. Image Sharpening Using Frequency Domain Filters
    10. Summary
    11. References and Further Reading
    12. Problems
  4. Image Restoration
    1. Image degradation and restoration
    2. Noise analysis
    3. Restoration with spatial analysis
    4. Restoration with frequency analysis
    5. Motion blur and image restoration
    6. Geometric transformation
    7. Summary
    8. References
    9. Problems