Course Description (catalog):
Fundamentals of digital image processing, basics of image enhancement in spatial and frequency domain, image restoration, color image processing, image compression and multi-resolution image processing.  
Prerequisites: -    Courses    DSP
Textbook(s) and/or Other Required Materials:
Gonzalez, R. C. and Woods, R. E., Digital Image Processing, 3rd Ed., 2008, Prentice Hall.
Course Learning Outcomes:  This course requires the student to demonstrate the following:

  1. Identify the basic components of an image processing system.
  2. Recognize the basics of the human visual system as they relate to image processing.
  1. To understand the fundamentals of digital images and their formation.
  2. Explain the concept of sampling, quantization, interpolation and the relationship between pixels.
  3. Understand intensity transformations and spatial filtering.
  4. Comprehension and application of frequency domain filtering.
  5. Methods for image restoration.
  6. Color image processing.
  7. Explain the basics of image compression and decompression.
  8. Understand multiresolution image processing and its applications.

Major Topics covered and schedule in weeks:
Introduction and background.                                                 2
Sampling, quantization, interpolation and pixel relationships.         1
Image enhancement in the spatial domain.                             2
Image enhancement in the frequency domain.                              2
Digital filter design.                                                                2
Image restoration.                                                                   1
Color image processing.                                                         2
Image compression.                                                                1
Multiresolution image processing and its applications.                1
Review and evaluation.                                                                2

ملحقات المادة الدراسية