2016 Optics in Information Processing

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Academic unit or major
Graduate major in Information and Communications Engineering
Yamaguchi Masahiro 
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Course description and aims

[Course description]
Starting with the physical meaning of digital image information, the relation between radiometry and photometry is discussed. Next, the fundamental knowledge required for understanding image acquisition, processing, and display systems is explained, such as geometrical optics and aberration theory, basics of wave optics, Fourier analysis of optical imaging systems. According to this theoretical background, the characteristics of an imaging system is discussed, such as the resolution and the depth of field of an imaging system, along with the examples of digital camera, video, and microscope. In addition, the basic theory of color science is introduced along with the application to the color imaging and display. Finally, the principle and limitations of 3D image acquisition and display technology are discussed based on the knowledge of geometrical and wave optics.
Based on the concept of optics as information media, students will understand the characteristics of optical imaging systems by learning the fundamentals of geometrical optics, wave optics, radiometry and photometry. Since the transmission of visual information is mainly mediated by light, gaining the knowledge of optics enables students to deal with the visual information systems, optical measurement devices, and other related systems. In addition, the students will grasp the technical components required for the development of practical systems.

Student learning outcomes

By the end of this course, students will be able to
1. Explain the fundamentals of geometrical optics, wave optics, radiometry and photometry,
2. Comprehend the concept of optics as information media, and apply it to understand the characteristics of optical imaging systems,
3. Find the appropriate direction to learn more details for the development of practical imaging systems.


Radiometry and Photometry, Geometrical Optics, Aberration theory, Fourier optics, Image formation, Frequency analysis of imaging systems, Resolution limit, Color imaging science, 3D display

Competencies that will be developed

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

Class flow

The course provides lectures with handouts as well as exercises for deeper understanding.

Course schedule/Required learning

  Course schedule Required learning
Class 1 Optics in imaging and video technology What is the knowledge required for understanding image processing, image sensing, and other imaging and video systems? The optical system design in camera, microscopy, etc.
Class 2 Geometrical optics, lens aberration The concept of image formation in geometrical optics, ray-tracing, paraxial approximation. What is lens aberration? Optical design in the lens system for cameras, microscopes, etc.
Class 3 Interference, diffraction, and Fourier optics Mathematical formulation of light wave using complex amplitude, interference and diffraction, light propagation, angular spectrum.
Class 4 Imaging system analysis based on wave optics Fresnel approximation, Fraunhofer approximation, image formation based on wave optics.
Class 5 Frequency analysis of imaging systems, resolution limit MTF of an imaging system using lenses, resolution limit
Class 6 Numerical aperture (NA) of an imaging system, depth of focus, depth of field The relation between NA, resolution, depth of focus/field. Computational imaging.
Class 7 Color information in images, color display Color matching function, color space, additive color mixture, color reproduction, color gamut, display
Class 8 3D image acquisition and display Depth perception of human vision, stereography, multi-view 3D display, integral imaging, holography


Handouts will be distributed in each class.

Reference books, course materials, etc.

J. W. Goodman, "Introduction to Fourier Optics," McGraw-Hill (New York)

Assessment criteria and methods

Exercises (20%) and final exam (80%).

Related courses

  • ICT.A406 : Human-Centric Information Systems I
  • ICT.A418 : Human-Centric Information Systems II
  • ICT.S206 : Signal and System Analysis
  • ICT.S403 : Multidimensional Information Processing
  • ICT.H502 : Media Quality

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


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

E-mail: yamaguchi.m.aa[at]m.titech.ac.jp

Office hours

Contact by e-mail in advance.

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