Standard Course Syllabus Course Supervisor Date of Approval

Dept. of Electrical and Computer Engineering Boyer 5/05

707 Digital Image Processing

2. CATALOG DESCRIPTION

Fundamentals and research directions in image processing: Fourier transforms, sampling, filtering and restoration,

compression, edge detection and feature extraction.

Quarters of Offering Credits
Level Class Meeting

Wi Qtr. 3 U G 3 cl.

Course Prerequisites

Prereq: 600, Math 530 or Stat 427 or equiv; or grad standing.

3. PREREQUISITES BY TOPIC

Digital signal processing, probability and random variables, linear algebra, basic geometry.

Courses that require this as a direct prerequisite

863

4. Text(s) and Other Course Materials Author(s) Publisher

Computer Vision: A Modern Approach, 2003 Forsyth and Ponce Prentice-Hall

ISBN: 0-13-085198-1

References (supplemental reading)

[1] Fundamentals of Digital Image Processing: Jain

[2] Introduction to Digital Image Processing: Gonzalez and Woods

[3] Three-Dimensional Computer Vision: Faugeras, MIT Press

5. COURSE OBJECTIVES

1. Students learn the mathematical underpinnings of digital image processing. (Criterion 3(a))

2. Students learn to develop image processing solutions through computer projects and real image experiments, document

with written reports. (Criteria 3(a),(b),(c),(g),(k))

3. Students develop an image processing system to meet a broad set of design specifications, working in teams, and

presenting the results in formal reports. (Criteria 3(a),(b),(c),(d),(e),(g),(k))

6. TOPICS AND (# OF LECTURES)

Camera Models (5)

Camera Calibration (3)

Geometry of Multiple Views and Stereo (5)

Introduction to Structure from Motion (3)

Radiometry, Shadows and Shading (5)

Introduction to Optical Flow and Segmentation (3)

Linear Filters (3)

Data Compression (1)

Projects (2)

7. CLASS MEETING PATTERN (For example, "3cl." means 3 48-min classes per week.)

3 cl.

Thursday, August 14, 2008 09:19 AM

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