Image Processing Fundamentals - Contents

• 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