| Relevance of Course Objectives and Core Learning Outcomes(%) |
Teaching and Assessment Methods for Course Objectives |
| Course Objectives |
Competency Indicators |
Ratio(%) |
Teaching Methods |
Assessment Methods |
| 使修課學生了解影像信號處理的基本知識、基本處理策略、與基本程式。 |
|
|
|
| Written Presentation |
| Assignment |
| Quiz |
|
| Course Content and Homework/Schedule/Tests Schedule |
| Week |
Course Content |
| Week 1 |
簡介與數位影像基礎。
作業一：數位影像的讀檔寫檔(file I/O)、計算亮度統計直方圖(image histogram)、影像空間解析度(spatial resolution)調整、影像灰階解析度(gray level resolution)調整。 |
| Week 2 |
影像轉換(image transformation) |
| Week 3 |
影像增強(image enhancement) |
| Week 4 |
影像復原(image restoration)
作業二：Discrete Fourier Transform and Discrete Cosine Transform, Zig-zag scan and fundamental of image compression. |
| Week 5 |
影像壓縮(image compression) |
| Week 6 |
影像壓縮(image compression) |
| Week 7 |
影像產生和顯示(image origination and display)，數位化顯示與儲存
作業三：image equalization |
| Week 8 |
期中考
Midterm |
| Week 9 |
影像資料處理程序(image data processing) |
| Week 10 |
小波轉換與多重解析度簡介(wavelets and multi-resolution processing) |
| Week 11 |
Morphological Image Processing
作業四：紅蘋果變藍蘋果 |
| Week 12 |
彩色影像處理(full-color image processing) |
| Week 13 |
Representation and Description |
| Week 14 |
影像切割(image segmentation) |
| Week 15 |
[student presentation] Term paper proposal |
| Week 16 |
影像切割(image segmentation) |
self-directed
learning |
03.Preparing presentations or reports related to industry and academia.
|
|
| Evaluation |
作業10% * 4
期中考30%
期末term paper 30% |
| Textbook & other References |
| Gonzalez and Woods, ”Digital Image Processing, 4th Edition”。 |
| Teaching Aids & Teacher's Website |
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| Office Hours |
|
| Sustainable Development Goals, SDGs(Link URL) |
| include experience courses：N |
|