Premium
Brightness scaling according to gamut relativity
Author(s) -
Vladusich Tony
Publication year - 2014
Publication title -
color research and application
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.393
H-Index - 62
eISSN - 1520-6378
pISSN - 0361-2317
DOI - 10.1002/col.21823
Subject(s) - gamut , brightness , power function , theory of relativity , scaling , exponent , function (biology) , matching (statistics) , mathematics , lightness , computer science , physics , theoretical physics , artificial intelligence , mathematical analysis , statistics , optics , geometry , philosophy , linguistics , evolutionary biology , biology
Brill and Carter [Color Res Appl (DOI: 10.1002/col21777 )] rekindle the question of whether brightness scaling is better approximated by a log or power function, proposing on theoretical and empirical grounds that the log function is the correct choice. This note provides a new twist to this debate in terms of a recently introduced theory of brightness and lightness perception, called gamut relativity. The theory reconciles the log and power function formulations and approximately predicts the weight/exponent values associated with these functions. The theory provides, moreover, a unified and testable approach to human performance in brightness magnitude estimation, discrimination and matching tasks. © 2013 Wiley Periodicals, Inc. Col Res Appl, 39, 463–465, 2014
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom