Image Processing

Course title

33006200

Image Processing

Middle-level Diploma Policy (mDP)

Program / Major	mDP	Goals
IoT Course	DP-4a・2	キャリアを見据えた高度な専門知識情報処理やネットワーキングに関する技術を駆使し、情報社会の基盤となるIoTシステムを開発できる。
Software Course	DP-4b・3	専門分野と他分野を関連付ける素養主軸となる分野の専門知識を他分野と関連付ける分野横断型の知識と行動力を修得し、社会で活用できる。
Media Course	DP-4c・2	キャリアを見据えた高度な専門知識画像や音響、サイバースペース等のメディア処理・デザイン技術を駆使し、社会的ニーズに適切に対応したシステムを開発できる。
Data Science Course	DP-4d・3	専門分野と他分野を関連付ける素養主軸となる分野の専門知識を他分野と関連付ける分野横断型の知識と行動力を修得し、社会で活用できる。
Mechatronics Course	DP-4・3	専門分野と他分野を関連付ける素養主軸となる分野の専門知識を他分野と関連付ける分野横断型の知識と行動力を修得し、社会で活用できる。
Architecture and Architectural Engineering Course	DP-4a・3	専門分野と他分野を関連付ける素養主軸となる分野の専門知識を他分野と関連付ける分野横断型の知識と行動力を修得し、社会で活用できる。
Environmental Systems and Urban Planning Course	DP-4b・3	専門分野と他分野を関連付ける素養主軸となる分野の専門知識を他分野と関連付ける分野横断型の知識と行動力を修得し、社会で活用できる。
Bioscience Course	DP-4a・3	専門分野と他分野を関連付ける素養主軸となる分野の専門知識を他分野と関連付ける分野横断型の知識と行動力を修得し、社会で活用できる。
Biomedical Engineering Course	DP-4b・3	専門分野と他分野を関連付ける素養主軸となる分野の専門知識を他分野と関連付ける分野横断型の知識と行動力を修得し、社会で活用できる。
Sports Engineering Course	DP-4c・3	専門分野と他分野を関連付ける素養主軸となる分野の専門知識を他分野と関連付ける分野横断型の知識と行動力を修得し、社会で活用できる。
Mathematical Sciences Course	DP-4・3	専門分野と他分野を関連付ける素養主軸となる分野の専門知識を他分野と関連付ける分野横断型の知識と行動力を修得し、社会で活用できる。

Purpose of class

The objective of this course is to acquire the knowledge necessary for studying and working in technical fields related to image processing.

Course description

Images are an important source of information for humans and are used in a wide variety of fields, including recognition, inspection, measurement, compression, and computer graphics.

The objective of this course is to provide students with the fundamental knowledge required to study technologies related to images. The course may be regarded as an introduction to image information processing and covers the essential concepts that engineers working with images should know, including image generation, representation, storage, and processing. Rather than learning how to use specific image-processing software, students will learn the fundamentals of how such software is developed. This knowledge will also help them understand how to use various image-processing applications.

Since the textbook is designed for a professional certification examination, students are strongly encouraged to obtain the Image Processing Engineer Certification.

Goals and objectives

* Understand and explain the meanings of terms related to image processing.
* Understand and explain various image-processing methods.
* Understand and explain fundamental knowledge related to image processing.

Relationship between 'Goals and Objectives' and 'Course Outcomes'

	Quiz	Comprehensive Test	Total.
1.	16%	18%	34%
2.	16%	18%	34%
3.	16%	18%	34%
Total.	48%	54%	-

Evaluation method and criteria

Students will be evaluated based on approximately four quizzes, a comprehensive test, and their participation in questions and discussions. A score of 80% will be awarded if the student demonstrates a general understanding of the terminology and methods covered in the course.

Qualifications awarded by the CG-ARTS Society will also be taken into consideration when determining grades. Among the students who have passed the Expert Level of the Image Processing Engineer Certification, the student with the highest academic performance is expected to receive the CG-ARTS Society Award. Further details will be provided during the first class.

Language

Japanese

Class schedule

	Class schedule	HW assignments (Including preparation and review of the class.)	Amount of Time Required
1.	Introduction to Image Information Processing and Human Vision	Preparation: Textbook, Chapters 1 and 3-2	90minutes
1.		Review	100minutes
2.	Color and Color Representation Systems	Preparation: Textbook, Chapter 3-3	90minutes
2.	Color and Color Representation Systems	Review	100minutes
3.	Image Digitization and Various Image Formats	Preparation: Textbook, Chapters 2-4 and 2-5	90minutes
3.	Image Digitization and Various Image Formats	Review	100minutes
4.	Image Input	Preparation: Textbook, Chapter A-3	90minutes
4.	Image Input	Review	100minutes
5.	Image Output and Quantities Representing Image Characteristics	Preparation: Textbook, Chapters A-4 and 3-1	90minutes
5.		Review	100minutes
6.	Imaging Parameters and Pixel-Based Intensity Transformations	Preparation: Textbook, Chapters 2-3 and 4	90minutes
6.		Review	100minutes
7.	Region-Based Intensity Transformations	Preparation: Textbook, Chapter 5	90minutes
7.	Region-Based Intensity Transformations	Review	100minutes
8.	Filtering in the Frequency Domain	Preparation: Textbook, Chapter 6	90minutes
8.	Filtering in the Frequency Domain	Review	100minutes
9.	Image Restoration and Geometric Transformations	Preparation: Textbook, Chapters 7-1 and 8	90minutes
9.	Image Restoration and Geometric Transformations	Review	100minutes
10.	Binary Image Processing	Preparation: Textbook, Chapter 9	90minutes
10.	Binary Image Processing	Review	100minutes
11.	Region Processing and Image Coding	Preparation: Textbook, Chapters 10-1 and 16	90minutes
11.	Region Processing and Image Coding	Review	100minutes
12.	Image Coding and Standards	Preparation: Textbook, Chapters 16 and A-6	90minutes
12.	Image Coding and Standards	Review	100minutes
13.	Image Coding	Preparation: Textbook, Chapter 16	90minutes
13.	Image Coding	Review	100minutes
14.	Comprehensive Test and Explanation	Review of All Course Content	190minutes
Total.	-	-	2660minutes

Feedback on exams, assignments, etc.

ways of feedback	specific contents about "Other"
Feedback in the class

Textbooks and reference materials

*Digital Image Processing*, Second Revised Edition (CG-ARTS Society)

Prerequisites

None.

Office hours and How to contact professors for questions

Generally available during the Friday lunch break. I may also be available at other times if my schedule permits.

Regionally-oriented

Non-regionally-oriented course

Development of social and professional independence

Course that cultivates an ability for utilizing knowledge

Active-learning course

More than one class is interactive

Course by professor with work experience

Work experience	Work experience and relevance to the course content if applicable
Applicable	Drawing on experience in the research and development of image-processing systems, the course will explain methods and terminology in relation to systems and techniques used in real-world applications.

Education related SDGs:the Sustainable Development Goals

9.INDUSTRY, INNOVATION AND INFRASTRUCTURE

Last modified : Sat Aug 08 04:01:45 JST 2026