{"schema_version":3,"year":115,"sem":1,"course_id":"364893","course_name":"數位影像處理","teachers":["白敦文"],"department_ids":["59"],"url":"https://aps.ntut.edu.tw/course/tw/ShowSyllabus.jsp?snum=364893&code=12095","has_content":true,"teacher_name":"白敦文","teacher_email":"twp@ntut.edu.tw","updated_at":"2026-08-11T01:00:23Z","outline":"This course will be lectured in Chinese/English. Teaching contents include the following topics:\n1.Digital image fundamentals and AI applications 2.Image transforms. 3.Image enhancement 4. Image restoration 5. Color image processing. 6. Image compression. 7. Image segmentation and feature detection 8. Representation and description 9. Recognition and interpretation.","schedule":"1. Introduce to Image Processing\nAI applications\nComputer Imaging Systems\nHuman Visual Perception\nImage Representation\n2. Introduction to Image Analysis\nPreprocessing Techniques\nEdge/Line Detection\nImage Segmentation\nDiscrete Transform\nFeature Extraction\n3. Image Enhancement in Spatial Domain\nGrayscale Modification\nImage Sharpening Filters\nImage Smoothing Filters\n4. Image Enhancement in Frequency Domain\nFourier Transform\nImage Sharpening Filters\nImage Smoothing Filters\nHomomorphic Filtering\n5. Introduction to Image Restoration\nSpatial Filters for Noise Removal\nFrequency Filters for Noise Removal\n6. Color Image Processing\nColor Models\nPseudo-color Image Processing\nColor Transformation\n7. Compression Algorithms\nImage Compression Models\nDifferent Compression Algorithms","flexible_learning":{"category":["學生分組實作及討論(Student group practice and discussion)","AI 輔助學習與工具應用(AI-assisted learning and tool application)","遠距教學(Distance learning)"],"content":"Students will take time to cover all the  image processing topics taught in classess\n\nThe FInal exam will be held on \"2026/12/18 Friday\".\n\nIn the last three weeks, two weeks are holidaysalready (12/25/2026 and 01/01/2027).\nThe last week classe (01/08/2027) will be only one class  for students to propose their questions through web links.","hours":3,"outcome":"Student will try to recover the learned digital image on digital image fundamentals and AI applications; Image transforms;.Image enhancement; Image restoration;  Color image processing; Image compression; Image segmentation and feature detection related topics.","assessment_ratio":"There is no score for the last two weeks. One week  is already a holiday\n(01/01/2027)."},"assessment":"Quiz:15%, Homework:15%, Midterm 35%, Final 35%.","materials":"【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】\n\n使用外文原文書：是\n\nTextbook： Digital Image Processing\nAuthors：Rafael C. Gonzalez & Richard E. Woods (開發圖書公司) 4th Edition.\nReferences：  Digital Image Processing Using MATLAB by Rafael C. Gonzalez, Richard E. Woods, and Steven L. Eddins, 2nd Edition.","contact":["研究室分機(Extension): 4222","位置(Office): 宏裕科技大樓1524 (Hung-Yu Research Tech. Building)","Office hours: Wed. 1600-18:00","Any linking problem related to MS teams, please contact TA individually."],"extended_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).","數位教材資源應用 (Application of Digital Resources)","採用影音多媒體或具開放授權之資源（如OCW、開放教科書）作為主要或輔助教材。","Adopts multimedia or open-licensed resources (e.g., OCW, Open Textbooks) as primary or supplementary teaching materials.","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."],"sdgs":["SDG4：優質教育（Quality Education）","SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）","SDG11：永續城市與社區（Sustainable Cities and Communities）"],"ai_usage":["使用生成式AI作為教學過程的輔助工具（Use generative AI tools as an aid to the teaching process）","使用生成式AI進行課堂即時互動（Use generative AI for real-time classroom interaction）","簡單介紹AI的基本概念（Briefly introduce the basic concept of AI）"],"notes":"All lecture slides will be provided in advance through iSchool system.\nLectures will be provided through MS teams.","content_hash":"756d6975ea2ba499"}