Digital Image Processing

Digital Image Processing is a free engineering handbook covering important course topics, detailed notes, diagrams, equations, formulas and study materials. Download this digital book and reference guide for Diploma, BE, BTech and other degree courses.

Study image enhancement, filtering, Fourier transforms, image restoration, JPEG compression, segmentation, edge detection, color models and morphology. Useful for exams, viva, interviews, projects and quick revision.

RELATED ENGINEERING BRANCHES
Computer Science Engineering (CSE), Electronics and Communication Engineering (ECE), Electrical Engineering, EEE, Information Technology (IT), Artificial Intelligence, Data Science and Computer Vision.

ALL 90 UNIQUE TOPICS COVERED

IMAGE BASICS & TRANSFORMS
1. Global Properties Using B-Rep Model
2. Compression Fundamentals
3. Lossless Data Compression
4. Image Restoration and Its Process
5. Linear Position-Invariant Degradation Models
6. Elements of Visual Perception
7. Color Perception
8. Image Sampling and Quantization
9. Basic Relationships Between Pixels
10. Basic Geometric Transformations
11. Fourier Transform and DFT
12. Fast Fourier Transform (FFT)
13. Properties of 2D Fourier Transform
14. Separable Image Transforms
15. Walsh, Hadamard, DCT, Haar and Slant Transforms

IMAGE ENHANCEMENT & FILTERING
16. Spatial Domain Methods
17. Grayscale Manipulation and Histogram Equalization
18. Image Subtraction and Averaging
19. Spatial Filtering on Images
20. Smoothing Filters
21. Sharpening Filters
22. Derivative Filters
23. Laplacian Filters
24. Frequency Domain
25. Homomorphic Filtering
26. Model of Image Degradation
27. Noise Models
28. Characteristics of Noise Models
29. Order-Statistics Filters
30. Adaptive Filters
31. Least-Mean-Square (LMS) Algorithm
32. Blind Image Restoration and Recognition
33. Pseudo-Inverse Filtering
34. Singular Value Decomposition (SVD)

IMAGE COMPRESSION & CODING
35. Lossy Compression
36. Lempel-Ziv-Welch (LZW) Compression
37. LZW Decompression
38. Bit-Plane Coding
39. Differential Pulse Code Modulation (DPCM)
40. Image Representation
41. Transform Coding
42. Wavelet Image Coding
43. JPEG Compression
44. MPEG Compression
45. Basics of Vector Quantization

SEGMENTATION & BOUNDARY MODELS
46. Image Segmentation
47. Edge Detection and Techniques
48. Image Thresholding
49. Region-Based Segmentation
50. Boundary Representation Models
51. Data Structures of Boundary Representation Models
52. Vertex-Based Boundary Model
53. Face-Based Boundary Models
54. Graph Representation
55. Validity of Boundary Models
56. Faceted Modelers for B-Rep Systems
57. Two-and-a-Half-Dimensional Drawing
58. Advantages and Disadvantages of Boundary Representation
59. Polygonal Approximation
60. Algorithm for Closed Contours
61. Solution for Closed Contours
62. Heuristic Algorithms
63. Multiple-Object Polygonal Approximation
64. Optimal Algorithms for Min-# Problem
65. Iterative Reduced Search
66. Boundary Descriptors
67. Radial Distance Measures
68. Linear Discriminant Analysis (LDA)
69. Reduced Search Algorithm
70. Hough Transform
71. Laplacian of Gaussian
72. Canny Edge Detection Algorithm

COLOR & MORPHOLOGICAL IMAGE PROCESSING
73. Fundamentals of Color
74. RGB Color Model
75. Additive vs. Subtractive Color Models
76. Interactive Specification of Color
77. Color Image Processing
78. CIE Primaries
79. HSI Model
80. YIQ Model
81. Transferring Color to Grayscale Images
82. Basics of Full-Color Image Processing
83. Color Slicing
84. Tone and Color Corrections
85. Intensity Slicing
86. Intensity-to-Color Transformation
87. Morphological Image Processing
88. Dilating an Image
89. Structuring Elements
90. Structuring Element Decomposition

Use this free Digital Image Processing ebook for course revision and engineering reference.

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