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CS681: Computational Colorimetry

Fall 2015



Min H. Kim, [Room] 3429, [email]

Course Description


This course provides an introduction to color in computer graphics, with a in-depth look at two fundamental topics underlying today’s color imaging systems: digital color imaging techniques and numerical visual perception models. Digital color imaging to be covered includes the fundamentals of radiometry and colorimetry, ray tracing, characterization and image processing pipeline, high-performance imaging, compressive sensing, and color management systems. Numerical visual perception modeling techniques will include the fundamentals of psychophysics and human vi- sual perception, color appearance models, and image processing techniques based on visual perception. In the second half of the semester, students will work on an individ- ual project of their choice, either involving numerical modeling of visual perception or software development that applies visual perception.



Time and Place

Monday and Wednesday 10:30AM—11:45AM, Rm. 3444, Bldg. E3-1

Teaching Assistant

Seung-Hwan Baek, [e-mail]

Main Textbook

Roy S. Berns (2000) Principles of Color Technology, 3rd Ed., John Wiley & Sons

Optional Readings

Dorsey et al. (2008) Digital Modeling of Material Appearance, 1st Ed., Morgan Kaufmann
R.W.G. Hunt (2004) The Reproduction of Colour, 6th Ed., John Wiley & Sons
M.D. Fairchild (2005) Color Appearance Models, 2th Ed., John Wiley & Sons
E. Reinhard et al. (2008) Color Imaging, 1st Ed., A K Peters
E. Reinhard (2010) High Dynamic Range Imaging, 2th Ed., Elsevier
N. Ohta and A. Robertson (2005) Colorimetry, 1st Ed., John Wiley & Sons


There are no official course prerequisites.

Course Goal

Establish in-depth knowledge of color science and digital imaging technology
Achieve your novel project about color image processing

Tentative Schedule

  Week Date Lecture   Slides Assignments/Quizzes
  1 09/01 Introduction to color (1)   slide01  
    09/03 Introduction to color (2)   slide02  
  2 09/08 Introduction to color (3)   slide03  
    09/10 Introduction to color (4)   slide04  
  3 09/15 Radiometry   slide05 quiz1
    09/17 Color reproduction (1)   slide06 hw1
  4 09/22 Color reproduction (2)   slide07  
    09/24 Visual perception (1)   slide08  
  5 09/29 Mid-Autumn Festival Day      
  6 10/06 Visual perception (2)   slide09 quiz2
    10/08 Psychophysics (1)   slide10  
  7 10/13 Psychophysics (2)   slide10  
    10/15 Psychophysics (3)   slide11 hw2
  8 10/22 Mid-term exam (9:00am--12:00pm, E3-1, Rm. 3444)      
  9 10/27 Color appearance modeling   slide12  
    10/29 Material appearance modeling   slide13  
  10 11/03 Material appearance acquisition   slide14  
    11/05 Digital color imaging (1)   slide15  
  11 11/10 Digital color imaging (2)   slide16  
    11/12 Digital color imaging (3)   slide17  
  12 11/17 Coded aperture   slide18 quiz3
    11/19 High-dynamic-range imaging (1)   slide19 hw3
  13 11/24 High-dynamic-range imaging (2)   slide20  
    11/26 University exam week      
  14 12/01 High-dynamic-range imaging (3)   slide21  
    12/03 Hyperspectral imaging (1)   slide22  
  15 12/08 Hyperspectral imaging (2)   slide23 quiz4, hw4
    12/10 Light-field imaging   slide24  
  16 12/17 Final exam      


Attendance (10%), midterm/final exams (50%), assignments (30%), quizzes (10%)


LaTeX Template
Powerpoint Template
Computer Graphics papers
Computer Vision papers
UCL Vision Database

(click here to download), courtesy of ACM
(click here to download)

Hosted by Visual Computing Laboratory, School of Computing, KAIST.