CS681: Computational Imaging

Fall 2017

Instructor

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

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

Teaching Assistant

Giljoo Nam, [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

Prerequisites

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