E5740 教學大綱表

教學大綱表 (114學年度第1學期)

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課程名稱 Course Title	(中文) 數位影像處理 (英文) Digital Image Processing			開課單位 Departments	電機工程研究所
				課程代碼 Course No.	E5740
授課教師 Instructor	萬洪森
學分數 Credit	3.0	必/選修 core required/optional	選修	開課年級 Level	研究所
先修科目或先備能力(Course Pre-requisites)：
課程概述與目標(Course Overview and Goals)：課程內容包含數位影像的主要課題: 從數位影像的取得與基本特性, 到影像的數學模型,, 彩色影像的模型, 空間域與頻率域的轉換技巧, 影像分析, 影像壓縮及儲存等. 另外亦將講述低軌及高軌衛星影像處理及光學及雷達(SAR)影像原理, 使修課學生得以瞭解影像訊號處理的基本概念, 掌握影像處理的基本原則, 而具備研讀相關論文研究與從事相關業界工作的能力. The course content includes the main topics of digital imaging: from the acquisition and basic characteristics of digital images, to the mathematical model of images, the model of color images, the conversion techniques between the spatial domain and the frequency domain, image analysis, image compression and storage, etc. In addition, it will also explain the processing of LEO and GEO satellite images and the principles of optical and radar (SAR) images, so that students can understand the basic concepts of image signal processing, master the basic principles of image processing, and have the ability to study related research papers and engage in related industry work.
教科書(Textbook)	Rafael C. Gonzalez, Richard E. Woods, Digital Image Processing, Fourth Edition, Pearson, Inc. 2018

課程大綱 Syllabus			學生學習目標 Learning Objectives	單元學習活動 Learning Activities	學習成效評量 Evaluation	備註 Notes
序 No.	單元主題 Unit topic	內容綱要 Content summary	學生學習目標 Learning Objectives	單元學習活動 Learning Activities	學習成效評量 Evaluation	備註 Notes
1	Introduction	What is digital image processing? Examples of fields that use digital image processing Fundamental steps in digital image processing	To know how many fields this process can be applied. Concept of image processing in terms of work flow.	講授閱讀討論	問答
2	Digital Image Fundamentals	Elements of visual perception Light and the electromagnetic spectrum Image sensing and acquisition Image sampling and quantization	Learn the data acquisition tools Get the concept of light and electromagnetic spectrum How to transform the environmental data into digital image	講授
3	Representation of color images	Basic color theories Color spaces Color metric Color image processing	Basic color theories Color spaces Color metric Color image processing	講授	問答
4	Properties of digital images	Spatial domain Frequency domain	Spatial domain Frequency domain
5	Filtering in the Frequency Domain	Sampling and the Fourier transform of sampled The discrete Fourier transform of one variable Some properties of the 2-D DFT and IDFT The FFT	Learn how to deal with the image in spacial domain and frequency domain. The relationship between two domains.	講授	問答
6	Image enhancement	Homomorphic filtering Phase contrast filtering Histrogram modification Median filtering	Homomorphic filtering Phase contrast filtering Histrogram modification Median filtering
7	Image enhancement	Homomorphic filtering Phase contrast filtering Histrogram modification Median filtering	Homomorphic filtering Phase contrast filtering Histrogram modification Median filtering
8	Mid-term exam	exam the outcome of learning in image processing	review the learning of image acquired , color model, transformation methods, filter in spacial domain as well as frequency domain.
9	Image transformation	KL transform Fourier transform DCT transform Wavelet transform Fractal transform	KL transform Fourier transform DCT transform Wavelet transform Fractal transform
10	EO satellite image processing	Pan and MS Radiometric correction Geometric correction data fusion	Pan and MS Radiometric correction Geometric correction data fusion	講授
11	SAR image processing	concept of synthetic aperture radar image introduction of SAR satellites	To know the concept of SAR image processing and where it coming from.	講授
12	Image analysis	Morphological image processing Edge detection Corner detection Hough transform	Morphological image processing Edge detection Corner detection Hough transform
13	Image analysis	Morphological image processing Edge detection Corner detection Hough transform	Morphological image processing Edge detection Corner detection Hough transform
14	Wavelet and other image transforms	Matrix-based transforms Correlation Fourier-related transforms Walsh-Hadamard transforms	To learn the wavelet-based transforms to deal with the conversion of image.	講授	問答
15	Image compression	Huffman Coding Golomb Coding Run-length coding LZW coding	Huffman Coding Golomb Coding Run-length coding LZW coding	講授
16	Final-term report and discussion	Conclusion of the image processing Presentation and discussion	On stage presenting what have learned in this class	討論心得發表	報告

彈性教學週活動規劃

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實施方式
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教學說明
Teaching instructions

彈性教學評量方式
Evaluation

備註
Notes

教學要點概述：
1.自編教材 Handout by Instructor：
■ 1-1.簡報 Slids
□ 1-2.影音教材 Videos
□ 1-3.教具 Teaching Aids
■ 1-4.教科書 Textbook
□ 1-5.其他 Other
□ 2.自編評量工具/量表 Educational Assessment
□ 3.教科書作者提供 Textbook

成績考核 Performance Evaluation：期中考：30% 問答：10% 報告：30% 彈性教學：10% 作業：20%

教學資源(Teaching Resources)：
□ 教材電子檔(Soft Copy of the Handout or the Textbook)
□ 課程網站(Website)
課程網站(Website)：E5740
扣考規定：https://curri.ttu.edu.tw/p/412-1033-1254.php