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525.746 - Image Engineering Course Homepage

Instructor Information

Timothy Miller

Email: timothy.miller@jhuapl.edu
Work Phone: (443) 778-5926

Isaac Bankman

Email: isaac.bankman@jhuapl.edu
Work Phone: (443) 778-6097

Course Information

Course Description

Optical, photographic, analog, and digital image processing are highlighted. Topics include image input, output, and processing devices; visual perception; video systems; and fundamentals of digital image enhancement, processing, and understanding. Coding, filtering, transform, restoration, and segmentation techniques are covered, as well as applications to remote sensing and biomedical problems.

Prerequisites

525.427 Digital Signal Processing or equivalent and knowledge of linear systems.

Course Goal


The overall goal of the course is to provide the student with a unified view of images and image processing.

Course Objectives

  • By the end of the course, students should be able to:
    Describe the human visual system and basic aspects of visual perception.
  • Describe both analog and digital photography, their similarities and differences, and how they compare to the human visual system and visual perception.
  • Describe both analog and digital video systems, their similarities and differences, and how they relate to visual perception.
  • Describe the basic features of imaging sensors.  Describe the basic features of optical processing.  Describe the relationships between the various types of imaging covered in the course.

When This Course is Typically Offered

Syllabus

Topics Covered

  • Introduction to Images
  • Review of Fourier Transforms
  • The Human Visual System
  • Analog Photography
  • Digital Photography
  • Imaging Detectors: CCD, CMOS, others
  • Image Display Systems
  • The NTSC Video System
  • Digital Video
  • Optical Processing

Student Assessment Criteria

Homework (~7 assignments) 40%
Mid-term Exam 20%
Final Exam 20%
Final Paper 20%

Computer and Technical Requirements

A knowledge of Fourier Transforms is assumed.  Students will also need access to computational software capable of image processing and analysis, such as Matlab or IDL.

Participation Expectations

This course will consist of four basic student requirements:

  1. Homework - Each student is required to complete all homework assignments to earn a course grade. Homework assignments will be evaluated and graded on a scale of 0 to 100.  Late homework assignments will not be accepted, but the lowest homework grade will be dropped. 

  2. Midterm Examinations - An in-class mid-term will be given. The exact date will be announced later during the semester.

  3. Final Examination - An in-class final exam will be given during the last class period.

  4. Final Paper -  Students are required to write a final paper on a topic of their choice.  Writing quality will count on final papers.

Textbooks

Textbook information for this course is available online through the MBS Direct Virtual Bookstore.

Course Notes

There are no notes for this course.

(Last Modified: 01-22-2009 at 2:32:02 PM)