Influence of LED Primary Colors on Color Matching Accuracy

2020 ◽  
Vol 40 (16) ◽  
pp. 1633001
Author(s):  
郭春丽 Guo Chunli ◽  
黄敏 Huang Min ◽  
习永惠 Xi Yonghui ◽  
潘洁 Pan Jie
2019 ◽  
Vol 27 (24) ◽  
pp. 35308 ◽  
Author(s):  
Shining Ma ◽  
Peter Hanselaer ◽  
Kees Teunissen ◽  
Kevin A. G. Smet

2019 ◽  
Vol 2019 (1) ◽  
pp. 220-224
Author(s):  
Li J. ◽  
Hanselaer P. ◽  
Smet K.A.G.

Over time, much work has been carried out to ascertain the accuracy of the CIE standard color-matching functions, but no definitive answer has been given. Recent work indicates an undeniable discrepancy between visual and computed metamers calculated using the existing CIE (the International Commission on Illumination) standard observer CMFs, especially when matching with narrowband sources. With a spectrally tunable solid-state light source, a series of pilot matching experiments have been done using primaries with different peak wavelengths. The results indicate which regions in wavelength space are most sensitive to generating matching inaccuracies for a given CMF set and which primary combinations have the most stable matching performance.


2019 ◽  
Vol 2019 (1) ◽  
pp. 320-325 ◽  
Author(s):  
Wenyu Bao ◽  
Minchen Wei

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.


Author(s):  
Lungwen Kuo ◽  
Tsuiyueh Chang ◽  
Chih‐Chun Lai

2007 ◽  
Author(s):  
Meng Liang ◽  
Manning Fan ◽  
Debo Guo ◽  
Guangyi Liu ◽  
Guohong Wang ◽  
...  

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

2000 ◽  
Vol 11 (3) ◽  
pp. 261-264 ◽  
Author(s):  
Tricia S. Clement ◽  
Thomas R. Zentall

We tested the hypothesis that pigeons could use a cognitively efficient coding strategy by training them on a conditional discrimination (delayed symbolic matching) in which one alternative was correct following the presentation of one sample (one-to-one), whereas the other alternative was correct following the presentation of any one of four other samples (many-to-one). When retention intervals of different durations were inserted between the offset of the sample and the onset of the choice stimuli, divergent retention functions were found. With increasing retention interval, matching accuracy on trials involving any of the many-to-one samples was increasingly better than matching accuracy on trials involving the one-to-one sample. Furthermore, following this test, pigeons treated a novel sample as if it had been one of the many-to-one samples. The data suggest that rather than learning each of the five sample-comparison associations independently, the pigeons developed a cognitively efficient single-code/default coding strategy.


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