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Digital Image Processing

1410

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A text book for Master in Computer Science Course (M.Sc.) Pune University, w.e.f. 2013-14

Digital Image Processing

Author : Supriya Shukla

Book ID : 1410

Edition : 4th 2016

ISBN : 978-93-5016-120-3

Solved Question Papers upto 2016 April

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Rs.288

Rs.320

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Contents

1. 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/ Elements of Digital Image Processing

2. Digital Image Fundamentals

2.1 Introduction

2.2 Elements of Visual Perception

2.2 Light and Electromagnetic Spectrum

2.3 Image Sensing and Acquisition

2.4 Image Sampling and Quantization

2.5 Some Basic Relationship between Pixels

3. Image Enhancement in the Spatial Domain     

3.1 Introduction

3.2 Some Basic Gray Level Transformations

3.3 Histogram Processing

3.4 Basics of Spatial Filtering

4. Image Enhancement in the Frequency Domain

4.1 Introduction to the Fourier Transform and the Frequency Domain

4.2 One dimensional Fourier transform

4.3 2-D Discrete Fourier Transform(DFT) and its Inverse

4.4 Filtering in the Frequency Domain

4.5 Smoothing Frequency-Domain Filters

4.6 Sharpening Frequency Domain Filter

4.7 Implementation

5. Image Restoration

5.1 Introduction

5.2 Noise Models

5.3 Periodic Noise

5.4 Restoration in the presence of noise only spatial filtering

5.5 Periodic noise reduction by frequency domain filtering

5.6 Estimating the degradation function

5.7 Geometric Mean filter

5.8 Inverse Filtering

5.9 Minimum Mean square Error (Wiener) Filtering

5.10 Geometric Transformation

6. Colour Image Processing

6.1 Introduction

6.2 colour Fundamentals

6.3 Colour Models

6.4 Pseudo Colour Image Processing

6.5 Basic of Full-colour Image Processing

6.6 Colour Transformations

6.7 Smoothing and Sharpening

6.8 Colour Segmentation

6.9 Colour Edge detection

6.10 Noise in Colour Images

7. Morphological Image Processing  

7.1 Introduction

7.2 Some basic concepts from set theory

7.3 Reflection and Translation

7.4 Logic Operations Involving Binary Images

7.5 Erosion and Dilation

7.6 Opening and Closing

7.7 The Hit-or-Miss Transformation

8. Image Segmentation

8.1 Image Segmentation Fundamentals   

8.2  Detection of Discontinuities

8.3 Thresholding

8.4 Region-based Segmentation

9. Representation and Description

9.1 Introduction    

9.2 Representation

9.3 Simple Boundary descriptors

9.4 Simple Regional Descriptors

9.5 Use of Principal Components for Description

9.6 Relational Descriptors

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