An analysis of the 2o and 10o field color-matching functions

1964 ◽  
Vol 26 (1) ◽  
pp. 9-24 ◽  
Author(s):  
Whitman Richards
Keyword(s):  
Color Matching

Change of color appearance due to extremely high light level: corresponding colors under 100 and 3000 cd/m2

2019 ◽  
Vol 2019 (1) ◽  
pp. 320-325 ◽  
Author(s):  
Wenyu Bao ◽  
Minchen Wei
Keyword(s):  
Light Level ◽  
Limited Range ◽  
High Light ◽  
Color Preference ◽  
Color Appearance ◽  
Appearance Model ◽  
Color Matching ◽  
Light Levels ◽  
Appearance Models ◽  
Psychophysical Study

Great efforts have been made to develop color appearance models to predict color appearance of stimuli under various viewing conditions. CIECAM02, the most widely used color appearance model, and many other color appearance models were all developed based on corresponding color datasets, including LUTCHI data. Though the effect of adapting light level on color appearance, which is known as "Hunt Effect", is well known, most of the corresponding color datasets were collected within a limited range of light levels (i.e., below 700 cd/m2), which was much lower than that under daylight. A recent study investigating color preference of an artwork under various light levels from 20 to 15000 lx suggested that the existing color appearance models may not accurately characterize the color appearance of stimuli under extremely high light levels, based on the assumption that the same preference judgements were due to the same color appearance. This article reports a psychophysical study, which was designed to directly collect corresponding colors under two light levels— 100 and 3000 cd/m2 (i.e., ≈ 314 and 9420 lx). Human observers completed haploscopic color matching for four color stimuli (i.e., red, green, blue, and yellow) under the two light levels at 2700 or 6500 K. Though the Hunt Effect was supported by the results, CIECAM02 was found to have large errors under the extremely high light levels, especially when the CCT was low.

Visual effect and color matching of dynamic image webpage design

2021 ◽  
Author(s):  
Lungwen Kuo ◽  
Tsuiyueh Chang ◽  
Chih‐Chun Lai
Keyword(s):  
Color Matching ◽  
Visual Effect ◽  
Dynamic Image

Research on color matching of LED backlight for large-color-gamut LCD application

2007 ◽  
Author(s):  
Meng Liang ◽  
Manning Fan ◽  
Debo Guo ◽  
Guangyi Liu ◽  
Guohong Wang ◽  
...  
Keyword(s):  
Color Matching ◽  
Color Gamut ◽  
Led Backlight

Color matching on natural substrates in cuttlefish, Sepia officinalis

2008 ◽  
Vol 194 (6) ◽  
pp. 577-585 ◽  
Author(s):  
Lydia M. Mäthger ◽  
Chuan-Chin Chiao ◽  
Alexandra Barbosa ◽  
Roger T. Hanlon
Keyword(s):  
Sepia Officinalis ◽  
Color Matching

Algorithm of Color Detection for Moving Video Objects Based on Mode Matching

2012 ◽  
Vol 239-240 ◽  
pp. 1000-1003
Author(s):  
Zhao Quan Cai ◽  
Hui Hu ◽  
Tao Xu ◽  
Wei Luo ◽  
Yi Cheng He
Keyword(s):  
Background Subtraction ◽  
Moving Objects ◽  
Color Matching ◽  
Human Beings ◽  
Current Image ◽  
Color Recognition ◽  
Recognition Ability ◽  
Color Identification ◽  
The Difference ◽  
Background Image

It is urgent to study how to effectively identify color of moving objects from the video in the information era. In this paper, we present the color identification methods for moving objects on fixed camera. One kind of the methods is background subtraction that recognizes the foreground objects by compare the difference of pixel luminance between the current image and the background image at the same coordinates. Another kind is based on the statistics of HSV color and color matching which makes the detection more similar to the color identification of the human beings. According to the experiment results, after the completion of the background modelling, our algorithm of background subtraction, statistics of the HSV color and the color matching have strong color recognition ability on the moving objects of video.

Comparison of Successive with Simultaneous Color Matching

1957 ◽  
Vol 47 (1) ◽  
pp. 43 ◽  
Author(s):  
S. M. Newhall ◽  
R. W. Burnham ◽  
Joyce R. Clark
Keyword(s):  
Color Matching
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