EEC667 Digital Image Processing

Lead Faculty: Dr. Mohammad Amin

Course Description

In this course students will learn digital image processing techniques including representation, sampling and quantization, image acquisition, imaging geometry, image transforms, image enhancement, image smoothing and sharpening, and image restoration. More advanced topics include degradation models, image filtering, color image processing, and image segmentation.

Learning Outcomes

  • Interpret image storage, sampling, and frequency domain processing operations.
  • Evaluate current technologies and issues that are specific to image processing systems.
  • Analyze different motion compensation techniques.
  • Integrate concepts of various image processing algorithms.