| Description | This course is an interdisciplinary introduction to image processing. You'll learn about digital art, information representation, elementary signal processing, how to program computers using the currently popular "Python" language, and you'll get exposed to some of the techniques behind computer vision, photomosaics, digital watermarking, image enhancement, stereo "depth" images, animation, and encryption of image information. In addition, you'll get to see applications for some of the high-school mathematics you studied perhaps wondering what it might be good for. |
| Meetings | Mondays, Wednesdays, Thursdays and Fridays 10:30-11:20 (all in MGH 044). |
| Prerequisites | Completion of Math 124 or equivalent high-school record. Prior experience with image processing and programming is not required. |
| Credits | 3 credits |
| Instructional Staff | Instructor: Steve Tanimoto (t a n i m o t o (at) u) - office hours W,F 2:30-3:30 in CSE 638; Teaching Assistant: Emily Wang (a m e l i e (at) u) - office hours M,Th 1:30-2:30 in CSE 518 | Policies | Policies page |
| Textbook | "Pixels, Numbers and Programs: An Interdisciplinary Introduction to Image Processing", by Steve Tanimoto. Students enrolled in the course will have free access to electronic copies of the text in the form of PDF files. Link to readings and references (authorization required). |
| Facilities | State-of-the-art computer laboratory located in Mary Gates Hall Room 044, PixelMath image processing software with Python language programming facility, hosted in INFACT. A Catalyst GoPost discussion board is the place to go for discussing clarifications on assignments, etc. |
| Teaching methods | A combination of lectures, in-class exercises, lab activities, discussions, and collaborative projects. Assessment will be based on assignments, project, in-class participation, a midterm, and a final exam. | Assignments and Exams | Assignments page. Exams page. | Lecture Slides | Lecture slides index |
| Monday, March 30 Introduction |
Wednesday, April 1 Getting Started with Pixels |
Thursday, April 2 Brightness |
Friday, April 3 Color |
| Monday, April 6 Color |
Wednesday, April 8 Geometric Transformations |
Thursday, April 9 Distortion |
Friday, April 10 Symmetry |
| Monday, April 13 Symmetry |
Wednesday, April 15 Synthesizing |
Thursday, April 16 Illusions |
Friday, April 17 Stereo |
| Monday, April 20 Stereo |
Wednesday, April 22 Anamorphic |
Thursday, April 23 Messages |
Friday, April 24 Photomosaics |
| Monday, April 27 Filtering |
Wednesday, April 29 Full Transformations |
Thursday, April 30 Full Transformations |
Friday, May 1 Automatic Setup |
| Monday, May 4 Control |
Wednesday, May 6 Symbols |
Thursday, May 7 Functions |
Friday, May 8 Functions |
| Monday, May 11 Working with Python |
Wednesday, May 13 Working with Python |
Thursday, May 14 Working with Python |
Friday, May 15 Programming Techniques |
| Monday, May 18 Programming Techniques |
Wednesday, May 20 Image Analysis |
Thursday, May 21 Image Analysis |
Friday, May 22 Image Analysis |
| Monday, May 25 Pattern Recognition |
Wednesday, May 27 Pattern Recognition |
Thursday, May 28 Misc. Applications |
Friday, May 29 Misc. Applications |
| Monday, June 1 Misc. Applications |
Wednesday, June 3 Misc. Applications |
Thursday, June 4 Demonstrations |
Friday, June 5 Demonstrations |