Features
- This unique free application is for all students across the world. It covers 128 topics of Digital image processing in detail. These 128 topics are divided in 7 units.
- Each topic is around 600 words and is complete with diagrams, equations and other forms of graphical representations along with simple text explaining the concept in detail.
- This USP of this application is "ultra-portability". Students can access the content on-the-go from anywhere they like.
- Basically, each topic is like a detailed flash card and will make the lives of students simpler and easier.
- Some of topics Covered in this application are:
- 1. Global properties using B-rep model
- 2. Compression fundamentals
- 3. Lossless data compression
- 4. Image restoration
- 5. Linear position invariant degradation models
- 6. Elements of visual perception
- 7. Color perception
- 8. Image sampling and quantization
- 9. Basic relationship between pixels
- 10. Basic geometric transformations
- 11. Introduction to Fourier transform and DFT
- 12. Fast Fourier transform
- 13. Properties of two dimensional Fourier transform
- 14. Separable image transforms
- 15. Walsh, Hadamard, discrete cosine, Haar and Slant transforms
- 16. Spatial domain methods
- 17. Grey scale manipulation and histogram equalization
- 18. Image subtraction and Image averaging
- 19. Spatial filtering
- 20. Smoothing filters
- 21. Sharpening filters
- 22. Derivative filters
- 23. Laplacian filters
- 24. Frequency domain
- 25. Homomorphic filtering
- 26. Image restoration process
- 27. Model of image degradation
- 28. Noise models
- 29. Characteristics of the noise models
- 30. Order-Statistics Filters
- 31. Adaptive filters
- 32. Least-Mean-Square (LMS) Algorithm
- 33. Blind Image Restoration and Recognition
- 34. Pseudo-Inverse Filtering
- 35. Singular value decomposition
- 36. Lossless compression
- 37. Lossy compression
- 38. Lempel-Ziv-Welch (LZW) Compression
- 39. Lempel-Ziv-Welch (LZW) decompression
- 40. Bit plane coding
- 41. Differential Pulse Code Modulation (DPCM)
- 42. Image representation
- 43. Transform Coding
- 44. Wavelet Image Coding
- 45. JPEG Compression
- 46. MPEG Compression
- 47. Basics of Vector quantization
- 48. Image Segmentation
- 49. Edge Detection
- 50. Image thresholding
- 51. Region based segmentation
- 52. Boundary Representation Models
- 53. Data structure of boundary representation models
- 54. Vertex-based boundary model
- 55. Face-based boundary models
- 56. Graph representation
- 57. Validity of boundary models
- 58. Faceted modelers for some B-rep systems
- 59. Two-and-half dimensional drawing
- 60. Advantage and disadvantage of boundary representation
- 61. Polygonal approximation
- 62. Algorithm for closed contours
- 63. Solution for closed contours
- 64. Heuristic algorithms
- 65. Multiple-object polygonal approximation
- 66. Optimal algorithms for min-# problem
- 67. Iterative reduced search
- 68. Boundary Descriptors
- 69. Radial Distance Measures
- 70. Linear Discriminant Analysis
- 71. Reduced search algorithm
- 72. The Hough transform
- 73. Edge detection techniques
- 74. Laplacian of Gaussian
- 75. Canny - Edge Detection Algorithm
- 76. Fundamentals of color
- 77. The RGB Color Model
- 78. Additive vs. Subtractive Color Models
- 79. Interactive Specification of Color
- 80. Colour Image Processing
- 81. CIE primaries
- 82. The HSI Model
- 83. The YIQ Model
- 84. Transferring Color to Greyscale Images
- 85. Basics of Full-Colour Image Processing
- 86. Colour Slicing
- 87. Tone and Colour Corrections
- 88. Intensity slicing
- 89. Intensity to color transformation
- 90. Morphological Image Processing
- 91. Dilating an Image
- 92. Structuring Elements
- 93. Structuring Element Decomposition
- 94. Eroding an Image
- 95. Combination of Dilation and Erosion
- 96. Dilation- and Erosion-Based Functions
- 97. Hole filling
- 98. Convex hull
- 99. Thinning
- 100. Thickening
- 101. Skeletonization
- 102. Pruning
- 103. Closing operator
- 104. Opening operator
- 105. Hit-and-Miss Transform
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