Image Processing Fundamentals

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Image Processing Fundamentals - Contents

From: http://www.ph.tn.tudelft.nl/Courses/FIP/noframes/fip-Contents.html

Introduction
Digital Image Definitions
- Common Values
- Characteristics of Image Operations
  - Types of operations
  - Types of neighborhoods
- Video Parameters
Tools
- Convolution
- Properties of Convolution
- Fourier Transforms
- Properties of Fourier Transforms
  - Importance of phase and magnitude
  - Circularly symmetric signals
  - Examples of 2D signals and transforms
- Statistics
  - Probability distribution function of the brightnesses
  - Probability density function of the brightnesses
  - Average
  - Standard deviation
  - Coefficient-of-variation
  - Percentiles
  - Mode
  - SignaltoNoise ratio
- Contour Representations
  - Chain code
  - Chain code properties
  - Crack code
  - Run codes
Perception
- Brightness Sensitivity
  - Wavelength sensitivity
  - Stimulus sensitivity
- Spatial Frequency Sensitivity
- Color Sensitivity
  - Standard observer
  - CIE chromaticity coordinates
- Optical Illusions
Image Sampling
- Sampling Density for Image Processing
  - Sampling aperture
- Sampling Density for Image Analysis
  - Sampling for area measurements
  - Sampling for length measurements
  - Conclusions on sampling
Noise
- Photon Noise
- Thermal Noise
- On-chip Electronic Noise
- KTC Noise
- Amplifier Noise
- Quantization Noise
Cameras
- Linearity
- Sensitivity
  - Absolute sensitivity
  - Relative sensitivity
- SNR
  - Thermal noise (Dark current)
  - Photon noise
- Shading
- Pixel Form
  - Square pixels
  - Fill factor
- Spectral Sensitivity
- Shutter Speeds (Integration Time)
  - Video cameras
  - Scientific cameras
- Readout Rate
Displays
- Refresh Rate
- Interlacing
- Resolution
Algorithms
- Histogram-based Operations
  - Contrast stretching
  - Equalization
  - Other histogram-based operations
- Mathematics-based Operations
  - Binary operations
  - Arithmetic-based operations
- Convolution-based Operations
  - Background
  - Convolution in the spatial domain
  - Convolution in the frequency domain
- Smoothing Operations
  - Linear Filters
  - Non-Linear Filters
  - Summary of Smoothing Algorithms
- Derivative-based Operations
  - First Derivatives
  - Second Derivatives
  - Other Filters
- Morphology-based Operations
  - Fundamental definitions
  - Dilation and Erosion
  - Boolean Convolution
  - Opening and Closing
  - itandMiss operation
  - Summary of the basic operations
  - Skeleton
  - Propagation
  - Summary of skeleton and propagation
  - Gray-value morphological processing
  - Morphological smoothing
  - Morphological gradient
  - Morphological Laplacian
  - Summary of morphological filters
Techniques
- Shading Correction
  - Model of shading
  - Estimate of shading
- Basic Enhancement and Restoration Techniques
  - Unsharp masking
  - Noise suppression
  - Distortion suppression
- Segmentation
  - Thresholding
  - Edge finding
  - Binary mathematical morphology
  - Gray-value mathematical morphology
Acknowledgments
References