Image Processing Concepts

Image Fundamentals (the following subtopics are most important)

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
  • Average
  • Standard deviation
  • SignaltoNoise ratio
• Contour Representations
  • Chain code
  • Chain code properties

Perception

• Brightness Sensitivity
  • Wavelength sensitivity
  • Stimulus sensitivity
• Spatial Frequency Sensitivity
• Color Sensitivity
  • Standard observer
  • CIE chromaticity coordinates
  Image Sampling
  • Sampling Density for Image Processing
  • Conclusions on sampling

  Algorithms  (read the intro plus more in-depth if you want to each of the operations listed below)

  • Histogram-based Operations
  • Mathematics-based Operations
  • Convolution-based Operations
  • Smoothing Operations
  • Derivative-based Operations
  • Morphology-based Operations

  Techniques

  • Segmentation