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Digital Image Processing

Brand: Ashish Kumar
MPN: com.faadooengineers.free_digitalimageprocessing
Category: App (Science)
Price: $0.00
Availability: Available instantly on compatible devices
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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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