Digital Image Processing
- Course Number: E1006
- Credits: 6 hours
- Instructor: Helen Chen, Ph.D., PE
- Price: $60
Course Outline
Digital image processing is the technology of applying a number of computer algorithms to process digital images. The outcomes of this process can be either images or a set of representative characteristics or properties of the original images. Its applications include medical imaging, remote sensing, photography, and forensics. This course introduces the techniques developed in this area along with the fundamental theories behind these techniques. Particularly, their applications in image denoising, restoration, and segmentation will be discussed. As such, digital image processing is a fascinating field that can be useful to you regardless of your occupation.
At the end of this course, there will be a multiple-choice, open-book quiz designed to enhance your understanding of the course material.
Learning Objectives
At the conclusion of this course, the student will:
- Become familiar with digital image processing and applications;
- Understand image acquisition and sampling;
- Know basic intensity transform functions;
- Become familiar with spatial, linear, and statistic filters;
- Understand Fourier transform and discrete Fourier transform;
- Become familiar with ideal, Butterworth, and Gaussian lowpass filters; and
- Become familiar with image degradation and restoration.
- Be able to improve the quality of images through digital image processing.