2018 Media Quality

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Academic unit or major
Graduate major in Information and Communications Engineering
Instructor(s)
Yamaguchi Masahiro  Takada Katsuhiro  Sugiura Hiroaki 
Course component(s)
Lecture
Day/Period(Room No.)
Tue7-8(G223)  
Group
-
Course number
ICT.H502
Credits
1
Academic year
2018
Offered quarter
1Q
Syllabus updated
2018/4/5
Lecture notes updated
2018/4/17
Language used
Japanese
Access Index

Course description and aims

The basic knowledge and the approaches for developing high-quality visual media are introduced by lecturers who have been leading research and development in the companies or enterprises in the visual media industry. The R&D strategy considering international standard is also addressed. This course focuses on visual media, especially digital cameras and displays, and the approaches to evaluate and/or enhance the image quality are discussed.
The aim of this course is to enhance practical and problem-solving skills as well as specialist skills by learning how the knowledge of fundamental mathematical principles, signal processing, and human-centric information systems are applied to the development of practical media systems.

Student learning outcomes

Students will acquire the ability to apply the knowledge of fundamental mathematical principles, signal processing, and human-centric information systems to the development of practical media systems. Students will be able to design the method for media quality evaluation. By learning the methods and examples for evaluating and/or enhancing the media quality, students will gain the aspects for solving practical problems in the development of media information systems.

Keywords

Image media, image and video systems, digital cameras, displays, image quality, color, objective evaluation, subjective evaluation

Competencies that will be developed

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

Class flow

In the first class the outline on the visual media quality is presented as well as the position of the topics focused in this course, digital camera and display systems. Next, the theories and examples related to the image quality are introduced by the lecturers from the companies in digital camera and display industries. In the final class, the lectures are summarized, and the quality issues in other visual media are also discussed.

Course schedule/Required learning

  Course schedule Required learning
Class 1 General remarks on visual media quality What affects the quality in image media? General methodology for quantitative evaluation of image quality.
Class 2 Image quality in digital camera I What technologies are employed for the evaluation and improvement of media quality in digital camera systems?
Class 3 Image quality in digital camera II
Class 4 Image quality in display systems III
Class 5 Image quality in display systems I What technologies are employed for the evaluation and improvement of media quality in display systems?
Class 6 Image quality in display systems II
Class 7 Exercise: Quality evaluation and enhancement in visual media systems. Explain examples of the methods for quality evaluation and enhancement in visual media.
Class 8 Summary: The quality evaluation and enhancement technologies in various visual media systems Discuss the future of quality evaluation and enhancement technologies in visual media systems.

Textbook(s)

Not specified. Supplementary materials will be provided.

Reference books, course materials, etc.

Not specified.

Assessment criteria and methods

The level of understandings on the methods for quality evaluation and enhancement in image acquisition and display is assessed by exercises (50%) and a final exam (50%).

Related courses

  • ICT.H409 : Optics in Information Processing
  • ICT.S403 : Multidimensional Information Processing
  • ICT.S206 : Signal and System Analysis
  • ICT.S210 : Digital Signal Processing
  • ICT.H504 : Medical Image Processing
  • ICT.A406 : Human-Centric Information Systems I
  • ICT.A418 : Human-Centric Information Systems II

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

None

Contact information (e-mail and phone)    Notice : Please replace from "[at]" to "@"(half-width character).

Masahiro Yamaguchi
yamaguchi.m.aa[at]m.titech.ac.jp

Office hours

Contact by e-mail in advance.

Other

As this course is taught by part-time lecturers from industry, the class schedule is subject to change. Confirm the schedule by OCW-i.

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