&lt;title&gt;New algorithm for detecting illuminant chromaticity from color images&lt;/title&gt;

Kim, Jeong Yeop; Park, Du‐Sik; Kim, Chang-Yeong; Seo, Yang-Seock; Ha, Yeong-Ho

doi:10.1117/12.373396

Cited by 2 publications

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“…In this paper, we estimate the illuminant chromaticity of an image using a method based on the perceived illumination [11] and calculate the color temperature from the estimated chromaticity. We didn't describe the illuminant estimating process here any more.…”

Section: Color Temperature Conversion Coefficientsmentioning

confidence: 99%

“…Many methods for estimating the scene illuminant color from a color image have been presented in the literatures [11][12][13][14]. In this paper, we estimate the illuminant chromaticity of an image using a method based on the perceived illumination [11] and calculate the color temperature from the estimated chromaticity.…”

Section: Color Temperature Conversion Coefficientsmentioning

confidence: 99%

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Color Temperature Conversion for Video on TV or PC Reflecting Human's Display Preference Tendency

Kim

Jeon

Leem

et al. 2007

2007 International Conference on Convergence Information Technology (ICCIT 2007)

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The term "color temperature" represents the color of light source or the white point of image displaying devices such as TV and PC monitor. In this paper, our goal is to find an appropriate method of converting the color temperature in order to reproduce the userpreferred color temperature in video displaying devices. In order to achieve the goal, we experiment human's preference tendency towards the color temperature and then propose an adaptive color temperature conversion method reflecting estimated tendency.

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Section: Color Temperature Conversion Coefficientsmentioning

confidence: 99%