Course No：1123150
Title：Color Imaging Technology
Class Hours/Week: 3-1 Credit: 2 Category: Specialty
Prerequisites：
None
Course objectives and basic requirements:
This course is designed for the graduate students to understand the basic principles and concepts of color imaging technology, to know the primary elements and modes of color vision, to find out the typical media of multimedia color reproduction and the important algorithms of color gamut mapping, to analyze correctly and to evaluate effectively the image quality by selecting and using scientific and reasonable models and equipments according to the application objective of color imaging and its practical environment, aiming to train the professional skills of the students in this research field.
The detailed requirements for the students:
- To study the essential theories and concepts of color vision, digital image and equipment, multimedia color reproduction, and image quality evaluation;
- To understand the knowledges and methods about the aspects of achromatic visual channel and chromatic adaptation, colorimetric characterization of digital imaging equipments, gamut mapping algorithms for cross-media, measurement and assessment of image quality;
- To know well the color imaging research technology based on the combination of human vision and equipment characterization.
- To study the essential theories and concepts of color vision, digital image and equipment, multimedia color reproduction, and image quality evaluation;
- To understand the knowledges and methods about the aspects of achromatic visual channel and chromatic adaptation, colorimetric characterization of digital imaging equipments, gamut mapping algorithms for cross-media, measurement and assessment of image quality;
- To know well the color imaging research technology based on the combination of human vision and equipment characterization.
Course introduction:
This course brings together the complementary subjects of human vision and device technology in the study of color imaging. It is introduced that the treatment of color images spanning the full chain of capture, encoding, processing, transmission and reproduction across multiple media, and that every link in this chain affecting the quality of the final result. The important issues are discussed over the accuracy with which the original spectral scene information has been captured, the effects of the scene illumination, the choice of color space to which the digital image data is referenced, how colors outside the gamut of the reproduction medium should be handled, and what effects the viewing conditions will have on the appearance of the reproduced image. The whole contents of the course are arranged in four parts. Part 1 deals with aspects of color vision, including the achromatic channel, chromatic adaptation, color deficiency and illuminant estimation. Part 2 is for color imaging related technology, including multispectral image processing, the use of neural networks and device characterization. Part 3 is about multimedia color reproduction, including the use of the Internet and mapping of color gamuts across disparate media. Part 4 deals with quality assessment, including the measurement of image quality and the assessment of naturalness in reproductions of scenes.
Test and Grading Criteria：
Project or Report(70%) +Usually performce(30%)
Suggested textbooks or references:
Suggested textbooks:
lecture sheet（Color Imaging Technology）
References:
[1] L. W. MacDonald, M. R. Luo, Colour Imaging – Vision and Technology, John Wiley & Sons, New York, 1999.
[2] P. K. Kaiser, R. M. Boynton, Human Color Vision, Optical Society of America, Washington DC, 1996.
[3] M. D. Fairchild, Color Appearance Models, Addison Wesley Longman, 1998.
[4] Haisong XU. Color Information Engineering. Zhejiang University Press.2005.