2016 Computational Imaging

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Academic unit or major
Graduate major in Systems and Control Engineering
Instructor(s)
Tanaka Masayuki 
Course component(s)
Lecture     
Day/Period(Room No.)
Mon3-4(S516)  
Group
-
Course number
SCE.I501
Credits
1
Academic year
2016
Offered quarter
4Q
Syllabus updated
2016/4/27
Lecture notes updated
-
Language used
English
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Course description and aims

Computational imaging systems have variety of applications include consumer cameras, cell phone cameras, vehicle camera systems, surveillance, medical imaging, remote sensing, and human computer interaction. Topics of computational imaging have a wide range of technologies in computer vision and image processing. This course focuses on image filtering, image editing, and image blending. In this course, students develop tools and/or application of computational imaging.

Student learning outcomes

By the end of this course, students will be able to:
1. Operate the image processing tool
2. Develop the image processing application

Keywords

Computational Image Processing

Competencies that will be developed

Specialist skills Intercultural skills Communication skills Critical thinking skills Practical and/or problem-solving skills

Class flow

This class is a kind of active learning. Instructor will give some information, but students are required to study the image processing techniques and to develop the image processing application and/or tools.

Course schedule/Required learning

  Course schedule Required learning
Class 1 Introduction of the course and the image processing techniques. Set-up the development environment.
Class 2 Survey image processing techniques. List up the image processing techniques which students have interests.
Class 3 Use-case development for the image processing applications and/or tools. Define three scenarios.
Class 4 Mid-term presentation Present the scenario of the application which students will develop.
Class 5 Implementation of the image processing applications and/or tools. Implementation of the image processing applications and/or tools.
Class 6 Test the image processing applications and/or tools. Test the image processing applications and/or tools.
Class 7 Debug the image processing applications and/or tools. Debug the image processing applications and/or tools.
Class 8 Final presentation and discussion Present their works.

Textbook(s)

None

Reference books, course materials, etc.

None

Assessment criteria and methods

Mid term presentation, final presentation, and report.

Related courses

  • SCE.I531 : Computer Vision

Prerequisites (i.e., required knowledge, skills, courses, etc.)

None

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