課程名稱 |
數位影像處理 Digital Image Processing |
開課學期 |
104-2 |
授課對象 |
電機資訊學院 資訊網路與多媒體研究所 |
授課教師 |
李明穗 |
課號 |
CSIE5612 |
課程識別碼 |
922 U3010 |
班次 |
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學分 |
3 |
全/半年 |
半年 |
必/選修 |
選修 |
上課時間 |
星期三2,3,4(9:10~12:10) |
上課地點 |
資107 |
備註 |
限學士班三年級以上 或 限碩士班以上 總人數上限:50人 |
Ceiba 課程網頁 |
http://ceiba.ntu.edu.tw/1042DIP |
課程簡介影片 |
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核心能力關聯 |
核心能力與課程規劃關聯圖 |
課程大綱
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為確保您我的權利,請尊重智慧財產權及不得非法影印
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課程概述 |
This course covers theoretical foundations and modern applications in digital image processing. Linear algebra, probability and calculus are the prerequisite of this course. It is expected that students have good programming skills in C/C++ which are required for programming assignments. The outline of this course is given as follows.
I. Introduction
II. Digital Image Fundamentals
III. Image Enhancement
IV. Edge Detection
V. Geometrical Modification
VI. Morphological Processing
VII. Texture Analysis
VIII. Document Processing
IX. Image Restoration
X. Color Image Processing
XI. Image Compression |
課程目標 |
The goal of this course is to let students learn theoretical foundations and modern applications in digital image processing. |
課程要求 |
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預期每週課後學習時數 |
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Office Hours |
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指定閱讀 |
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參考書目 |
William K. Pratt, Digital Image Processing, 3rd Edition, John Wiley & Sons Inc., 2001. |
評量方式 (僅供參考) |
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週次 |
日期 |
單元主題 |
Week 1 |
2/24 |
Introduction |
Week 2 |
3/02 |
Image Enhancement in Spatial Domain |
Week 3 |
3/09 |
Image Enhancement in Spatial Domain and
Edge Detection |
Week 4 |
3/16 |
Geometrical Modification and
Morphological Image Processing |
Week 5 |
3/23 |
Texture Analysis |
Week 6 |
3/30 |
Digital Halftoning and
Shape Analysis & Document Processing |
Week 7 |
4/06 |
Image Sampling & Transforms |
Week 8 |
4/13 |
Realsense |
Week 9 |
4/20 |
Midterm |
Week 10 |
4/27 |
Realsense and
Image Enhancement in Frequency Domain |
Week 11 |
5/04 |
Image Restoration |
Week 12 |
5/11 |
Proposal |
Week 13 |
5/18 |
Color Image Processing |
Week 14 |
5/25 |
Compression Model |
Week 15 |
6/01 |
Video Compression |
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