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Output details

11 - Computer Science and Informatics

University of East Anglia

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Output 6 of 70 in the submission
Article title

A new spectrally sharpened sensor basis to predict color naming, unique hues, and hue cancellation

Type
D - Journal article
Title of journal
Journal of Vision
Article number
-
Volume number
12
Issue number
6
First page of article
7
ISSN of journal
1534-7362
Year of publication
2012
URL
-
Number of additional authors
3
Additional information

<23>Significantly, and controversially, a simple RGB model of colour naming – used in computer graphics but not in perception - is found to accurately predict the World Colour Survey naming data. This both provides perceptual validity to graphics processing and teaches how this processing might be improved (by mapping from display to sharp RGB). Sharp RGB is a new tool that can potentially unify disparate theories of colour perception including unique hues and hue cancellation (demonstrated here). The role of sharp (RGB-type) sensors is part of the “Pixels to Perception” research programme proposed in Finlayson’s successful Royal Society-Wolfson merit award application.

Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
0
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-