Lecture 6

  • Review Jim Blinn's Corner article What is a Pixel?
  • Discussed Nyquist's Sampling Theorem and its relevance to digital images.\
  • Discussed the block diagram for digital processing of analog signals.
  • Discussed the difference between time frequencies and spatial frequencies and how to convert frequencies in space to frequencies in terms of pixels.
  • Discussed difficulties in displaying information in the form of digital images and the many processes which are involved in generating a displayed image.
  • Perceived images are complex functions of a specific group of sub-optimal systems which at each stage transform the data and, by necessity, remove some information present in the original imaged data.

 

Lecture 7

  • Linear Operators
  • Pixel Neighborhoods
  • Distance Metrics in terms of Pixel Neighborhoods
  • Distance Metrics and the p-norm, examples, L-2 or Euclidean Distance, L-1 or Manhattan Distance, and L-inf distance.
  • Image Scaling - Zooming and Shrinking
  • Linear Interpolation
  • Bilinear Interpolation
  • Displacement transformations of images

 

Lecture 8 (Laboratory)

  • Displacement transformations of grayscale and color images.
  • Lab project assignment overview, discussion, and specification for the format of finished lab reports.
  • Tutorial of MATLAB functions, scripts, and image processing functions.