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.
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
|Intercultural skills||Communication skills||Specialist skills||Critical thinking skills||Practical and/or problem-solving skills|
The course provides lectures with handouts as well as exercises for deeper understanding.
|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?|
|Class 2||Color information in images, color display||Color matching function, color space, additive color mixture, spectral sensitivity, color reproduction, color gamut.|
|Class 3||Geometrical optics, lens aberration||The concept of image formation in geometrical optics, ray-tracing, a paraxial approximation. What is lens aberration? Optical design in the lens system for cameras, microscopes, etc.|
|Class 4||Interference, diffraction, and Fourier optics||Mathematical formulation of the light wave using complex amplitude, interference, and diffraction, light propagation, angular spectrum.|
|Class 5||Imaging system analysis based on wave optics, frequency response, resolution limit, Numerical Aperture (NA) of an imaging system, depth of focus and depth of field||Explain Fresnel approximation, Fraunhofer approximation, image formation based on wave optics, MTF of a lens imaging system, and resolution limit. Describe the relation between NA, resolution, and depth of focus/field.|
|Class 6||Computational Imaging||What are the advantages of computational imaging? Explain examples of computational imaging systems.|
|Class 7||Light-field and holography||Explain the principle and applications of refocusing by a light-field camera, integral imaging, and holography.|
|Class 8||Conclusion, Final mini-exam.|
Handouts will be distributed in each class.
J. W. Goodman, "Introduction to Fourier Optics," McGraw-Hill (New York)
The levels of attainment of student learning outcomes 1~3 are assessed by exercises (40%) and a final short exam (60%).
Contact by e-mail in advance.