Course Syllabus

Course Information：

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Fall Semester Year 2026	363338	Advanced Digital Image Processing	1	3.0	3	★	Kuo,Tien-Ying	GEE	50	0	預選50人

Course Plan：

Instructor	Kuo,Tien-Ying　Office Hours
Email	tykuo@ntut.edu.tw
Last Updated	2026-08-06 13:42:59
Course Objective	本課程介紹各種常用之進階影像處理理論，課程內容含蓋： １. 空間域影像強化 ２. 頻域影像強化 ３. 影像還原 ４. 彩色影像處理 ５. 型態學影像處理 ６.影像分割 7. 物件辨認 8. 小波理論 This course contains the advanced topics in digital image compression. It includes 1 Image Enhancement in Spatial Domain 2. Image Enhancement in Frequency Domain 3. Image Restoration 4.Color Image Processing 5. Morphological Image Processing 6. Image Segmentation 7. Object Recognition 8. Wavelet and Multiresolution Processing
Course Schedule (Week 1-16)	week1 Introduction week2-3 Digital Image Fundamentals week4-5 Image Enhancement in Spatial Domain week6-8 Image Enhancement in Frequency Domain week9-10 Morphological Image Processing week11-12 Color Image Processing week13-14 Image Segmentation/Image Restoration week 14/15-16 Final Project
Flexible Learning (Week 17-18)	Category ● 線上數位教材學習(Coursera、edX、磨課師等)(Online digital learning (Coursera, edX, MOOCs, etc.)) ● AI 輔助學習與工具應用(AI-assisted learning and tool application) Content 上網例如youtube學習課程相關知識, 並配合AI Q&A學習。 Hours 6 Learning Outcomes 自由繳交報告 Assessment Percentage 額外加分
Evaluation and grading policy	Homework:60%, Project:40%, Bonus
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes Textbook: (1) Gonzales & Woods: Digital Image Processing, Addison Wisley, 4th Ed, 2018 (2) Handout References: (1) Digital Image Processing Using MATLAB, R.C. Gonzalez, R. E. Woods, S. L. Eddins, Prentice Hall.
The access to curricular consultation	1. Ask in Line group (will be created after lectures start) 2. E-mail to me or TA to ask questions or make appointments. 3. Come to ask me or TA (綜科212) during office hours.
Expanding teaching and resources	● 混成學習 (Blended Learning) 課程結合實體授課與線上學習（同步視訊／非同步活動）。 Combines face-to-face instruction with online learning (including synchronous video sessions or asynchronous activities). ● 數位科技融入 (Digital Technology Integration) 運用生成式AI、VR/AR、IoT、IRS等新興科技輔助教學與評量。 Utilizes emerging technologies such as Generative AI, VR/AR, IoT, and IRS (Interactive Response Systems) to facilitate teaching and assessment.
The course corresponds to the SDGs	無（None）
Does the course incorporate AI	● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools） ● 簡單介紹AI的基本概念（Briefly introduce the basic concept of AI）
Note	1. 同學如有加退選簽核或課程問題請email給我 tykuo@ntut.edu.tw，信件標題 [高等數位影像處理]_班級_名字。 2. 本課程其他資料將透過北科i學園plus或line群公布。 3. 本課程因應特殊情形(如疫情、學校突然規定提早期末考等情形)可能會調整授課內容、授課方式、評分項目與配分比例。 4. 如果無法實體上課，採線上課程時，使用Microsoft Teams於原定上課時間遠距上課，請以 學號@cc.ntut.edu.tw登入。 ====================== 彈性學習/Flexible Learning 一、類別 (可複選) □線上數位教材學習(YouTube主題、Coursera、edX、磨課師等) □AI 輔助學習與工具應用 二、內容 (1)第 17-18 週: 課程相關主題線上數位教材學習並配合AI協助學習。 三、時數 總共 6 小時。 四、學習成果 彈性選擇繳交自學筆記與心得報告。 五、評量比例 (1)第 17-18 週: 自我學習: 0% (or bonus)