Image processing is indispensable for various fields, including industry, natural science, and entertainment. This class,
Digital Media Processing, introduces basic image-processing techniques such as digital image acquisition, filtering, and geometric
transform. For most of algorithms presented in class, interactive demonstrations with source codes (python) will be provided
to support your deep comprehension.
To learn various basic algorithms for image processing, including convolution filtering, Fourier transform, affine transform,
deconvolution. To improving programing skills through python programing exercises for image processing.
- Introduction to digital image processing - Goal is that students understand various techniques of image acquisition and can explain them.
- Image filtering - Goal is that students understand basic filtering techniques, such as tone curve, linear and non-linear filters and can explain them.
- Geometric transformation – Goal is that students understand affine transform and interpolation and can explain them.
- Image compression – Goal is that students understand and explain basic information theory and image compression algorithms.
- Programing assignments - Goal is that students write programs of various basic image processing algorithms in python.
| Class schedule | HW assignments (Including preparation and review of the class.) | Amount of Time Required | |
|---|---|---|---|
| 1. | Introduction 1: Digital image, sampling and quantization mini test |
Preparation and review the lecture by using online lecture notes. | 200minutes |
| 2. | Introduction 2: Digital camera, human vision, color mini test |
Preparation and review the lecture by using online lecture notes. | 200minutes |
| 3. | Filtering 1: tone curve, linear filters mini test |
Preparation and review the lecture by using online lecture notes. | 200minutes |
| 4. | Filtering 2: non-linear filters, halftoning mini test |
Preparation and review the lecture by using online lecture notes. | 200minutes |
| 5. | Filtering 3: DFT, frequency filters mini test |
Preparation and review the lecture by using online lecture notes. | 200minutes |
| 6. | Geometric transform : affine transform and image interpolation mini test |
Preparation and review the lecture by using online lecture notes. | 200minutes |
| 7. | Convolution and deconvolution mini test |
Preparation and review the lecture by using online lecture notes. | 200minutes |
| 8. | Image compression mini test |
Preparation and review the lecture by using online lecture notes. | 200minutes |
| 9. | Programming exercise (PC room): | solve assignments. | 200minutes |
| 10. | Programming exercise (PC room): | solve assignments. | 400minutes |
| 11. | Programming exercise (PC room): | solve assignments. | 400minutes |
| 12. | Programming exercise (PC room): | solve assignments. | 400minutes |
| 13. | Programming exercise (PC room): | solve assignments. | 400minutes |
| 14. | Programming exercise (PC room): | solve assignments. | 400minutes |
| 15. | |||
| Total. | - | - | 3800minutes |
| programing assignment | mini tests | Total. | |
|---|---|---|---|
| 1. | 5% | 12% | 17% |
| 2. | 5% | 14% | 19% |
| 3. | 5% | 12% | 17% |
| 4. | 5% | 12% | 17% |
| 5. | 30% | 30% | |
| Total. | 50% | 50% | - |
By mini tests (50%), and assignments (50%).
-- The mini test will contain basic questions (30~40%), developmental questions (20~30%), and calculation (30~40%) with respect to image processing.
-- Programming assignments contain basic assignments (60%) and developmental assignments (40%) with respect to image processing and image recognition.
-- The mini test will contain basic questions (30~40%), developmental questions (20~30%), and calculation (30~40%) with respect to image processing.
-- Programming assignments contain basic assignments (60%) and developmental assignments (40%) with respect to image processing and image recognition.
| ways of feedback | specific contents about "Other" |
|---|---|
| Feedback in outside of the class (ScombZ, mail, etc.) |
CG-Arts協会（画像情報教育進行委員会）『ディジタル画像処理[改訂新版] 大型本』 (in Japanese).
All the lecture notes will be uploaded at takashiijiri.com/classes/ about one week before the lecture. I recommend you to check them in advance.
All the lecture notes will be uploaded at takashiijiri.com/classes/ about one week before the lecture. I recommend you to check them in advance.
Recommend you to make a study plan based on this syllabus and online lecture notes (takashiijiri.com/classes/).
- Course that cultivates a basic problem-solving skills
- Course that cultivates an ability for utilizing knowledge
- Course that cultivates a basic self-management skills
| Work experience | Work experience and relevance to the course content if applicable |
|---|---|
| N/A |
- 4.QUALITY EDUCATION
- 17.PARTNERSHIPS FOR THE GOALS
Last modified : Sat Sep 09 06:32:18 JST 2023