Skip navigation Download free eBooks and textbooks

Choose a category

Digital Image Processing: Part I

Digital Image Processing: Part I
4.6 (11 reviews)
ISBN: 978-87-7681-541-7
1 edition
Pages : 71
Price: Free

Download for FREE in 4 easy steps...

We are terribly sorry, but in order to download our books or watch our videos, you will need a browser that allows JavaScript.
After entering your email address, a confirmation email will be sent to your inbox. Please approve this email to receive our weekly eBook update. We will not share your personal information with any third party.

This is a Premium eBook - get it free for 30 days

You can also read this in Premium


This book (vol.1 and vol.2) introduces the fundamental theories of modern digital image processing including intensity transformations, filtering in the frequency...

300+ Business books exclusively in our Premium eReader

  • No adverts
  • Advanced features
  • Personal library
More about Premium

Buy this eBook

Buy now

Subscribe to all 800+ eBooks

Start free trial 30 day FREE trial

About the book

  1. Description
  2. Preface
  3. Content
  4. Embed


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
1.1 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
1.7.1 Basic concepts in sampling and quantization
1.7.2 Representing digital images
1.8 Basic relationship between pixels
1.8.1 Neighbors of a pixel
1.8.2. Adjacency, connectivity, regions, and boundaries
1.8.3 Distance measures

2. Intensity transformations and spatial filtering
2.1 Preliminaries
2.2 Basic Intensity Transformation Functions
2.3 Histogram Processing
2.3.1 Histogram Equalization
2.3.2 Histogram Matching
2.4 Fundamentals of Spatial Filtering
2.5 Smoothing Spatial Filters
2.5.1 Smoothing Linear Filters
2.5.2 Order-Statistic Filters
2.6 Sharpening filters
2.7 Combining image enhancement methods

3. Filtering in the Frequency Domain
3.1 Background
3.2 Preliminaries
3.2.1 Impulse function and its properties
3.3 Sampling and the Fourier Transform of Sampled Functions
3.3.1 Sampling
3.3.2 The Fourier Transform of Sampled Functions
3.3.3 The Sampling Theorem
3.4 Discrete Fourier Transform
3.4.1 One Dimensional DFT
3.4.2 Relationship between the Sampling and Frequency Intervals
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
3.8.1 Ideal Lowpass Filters
3.8.2 Butterworth Lowpass Filter
3.8.3 Gaussian Lowpass Filters
3.9 Image Sharpening Using Frequency Domain Filters
3.9.1 Ideal Highpass Filters
3.9.2 Butterworth Highpass Filters
3.9.3 Gaussian High Pass Filters
3.9.4 The Fourier transform of Laplacian operator
3.9.5 Unsharp filter, Highboost Filtering, and High-Frequency-Emphasis Filtering
3.9.6 Frequency Domain Homomorphic Filtering
References and Further Reading

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


Choose color
Implementation code. Copy into your own page
Embed Frame - Terms of Use

The embed frame is free to use for private persons, universities and schools. It is not allowed to be used by any company for commercial purposes unless it is for media coverage. You may not modify, build upon, or block any portion or functionality of the embed frame, including but not limited to links back to the website.

The Embed frame may not be used as part of a commercial business offering. The embed frame is intended for private people who want to share eBooks on their website or blog, professors or teaching professionals who want to make an eBook available directly on their page, and media, journalists or bloggers who wants to discuss a given eBook

If you are in doubt about whether you can implement the embed frame, you are welcome to contact Thomas Buus Madsen on and seek permission.