Perceptual gamut mapping on the basis of image quality and preference factors

Byoung-Ho Kang; Min-Ki Cho; Heui-Keun Choh; Chang-Yeong Kim

doi:10.1117/12.642507

16 January 2006 Perceptual gamut mapping on the basis of image quality and preference factors

Byoung-Ho Kang, Min-Ki Cho, Heui-Keun Choh, Chang-Yeong Kim

Proceedings Volume 6058, Color Imaging XI: Processing, Hardcopy, and Applications; 605806 (2006) https://doi.org/10.1117/12.642507
Event: Electronic Imaging 2006, 2006, San Jose, California, United States

Abstract

This study has three primary aims circumventing current limitations of color reproduction technologies: firstly, to derive base-line image quality factors from both color printer experts and academic research works. Individual factors were verified by systematic experiments, secondly, to develop a perceptual gamut mapping algorithm covering the image quality and preference factors derived, thirdly, to apply the algorithm to printer driver as acting for a vendor specific perceptual intent. Algorithm of this study tried to optimization between control parameters of gamut mapping and color shifting factors of preference, e.g. skin, sky and green grass. Profile builder using this algorithm outperforms, in industrial and academic aspects, existing commercial tool and CIE recommended algorithms.

Citation Download Citation

Byoung-Ho Kang, Min-Ki Cho, Heui-Keun Choh, and Chang-Yeong Kim "Perceptual gamut mapping on the basis of image quality and preference factors", Proc. SPIE 6058, Color Imaging XI: Processing, Hardcopy, and Applications, 605806 (16 January 2006); https://doi.org/10.1117/12.642507

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available