Digital Image Processing Training

Digital Image Processing Training

• Digital Image Processing Training: Introduction
  • What is a digital image?
  • Digital image fundamentals
  • Pixels and quantization
  • Fundamental steps in image processing
  • Components of an image processing system
• Human vision and perception
  • Capabilities of the eye
  • Comparison of eye and camera images
• Image enhancement in the spatial domain
  • Gray level transforms
  • Histogram processing
  • Other logic and arithmetic operations
  • Spatial filtering
• Image enhancement in frequency domain
  • Frequency-domain filters
  • Sharpening filters
  • Homomorphic filtering
  • Fourier transform
  • Convolution and deconvolution
• Image degradation and restoration
  • Half toning
  • Noise and noise models
  • Restoration with noise-only spatial filtering
  •  Noise reduction by frequency domain filtering
  • Inverse filtering
  • Other filtering and transformations
• Color image processing
  • Color models and perception
  • Color transformations
  • Smoothing and sharpening
  • RGB,CMYK and color spaces
• Image compression
  • Lossy and lossless compression
  • Fundamentals
  • Models
  • Information theory
  • Standards and standard image types
• Digital Image Processing Training Wrap-up: Course recap and discussion