| Course Title: Digital Image Processing |
| Start Date: 01/23/2023 End Date: 05/08/2023 |
| Term: Spring Semester 2023 |
| Description: An introduction to the mathematical aspects behind digital image processing. Students will learn how digital images can be represented using matrices and how matrix manipulations lead to image enhancements. Topics include converting images to black and white, adjusting image brightness via gamma correction, blurring images using smoothing masks, and sharpening images using derivative filters. Image restoration techniques such as the removal of noise or motion blur will be discussed. Students will apply theoretical knowledge to images using MATLAB. The methods in this course can be applied to several career fields including medical imaging, computer vision, forensics, security, and defense. |
| Distribution(s): II - Math & Sciences |
| Academic Level Of Course: Undergraduate | Credits:4.00 |
| Faculty | Phone | Email address |
| Samantha Kirk | skirk@mtholyoke.edu |
| Meeting Dates | Method | Meeting days | Meeting times | Building name | Room | Frequency |
| 01/23/2023 - 05/08/2023 | Lecture | Tuesday and Thursday | 03:15PM - 04:30PM | CLAP - Clapp Laboratory | 402 | Weekly |
| Requisite Courses | ||
| Prereq: MATH-102. | Take previously | Required |
| Comments |
| Additional Comments |
| Course Tags | ||
| NXDTA0001 | NXDTA: Nexus in Data Analytics and Society | This course is approved for the Data Analytics |
| Cross-listed Sections |
| MATH-239-01 Digital Image Processing |
| DATA-239-01 Digital Image Processing |
| Course Availability | ||||
| Section status: Open | Capacity: 18 | Enrollment: 17 | Available: 1 | Waitlist: 0 |
BOOK INFORMATION
| Book List | Required | Publisher Full Price |
| No book purchases are required/recommended for this class. |
| Additional Book Comments |