Presentation 1999/12/17
Color Temperature Estimation of Scene Illumination
Shoji Tominaga, Satoru Ebisui, Brian Wandell,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Classification of scene illumination, rather than estimation of the full spectral power distribution of the illumination, is appropriate and useful for many imaging application. We analyze illuminant classification algorithms designed to group scene illuminant by color temperature. A version of the correlation method suggested by Finlayson et al. is used. Using calibrated images with known illuminants, we propose the improved correlation method by using a scaled version of the red and blue sensor responses. The algorithm is more sensitive to differences in illuminant color temperature. The proposed method is applied to an image database of real scene. Moreover we show that once the illuminant color temperature is estimated, it is possible to predict the camera sensor responses for the same objects viewed under a different illuminant color temperature.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) color images / color temperature estimation / scene illumination / color correction
Paper # PRMU99-184
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Conference Information
Committee PRMU
Conference Date 1999/12/17(1days)
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Place (in English)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Color Temperature Estimation of Scene Illumination
Sub Title (in English)
Keyword(1) color images
Keyword(2) color temperature estimation
Keyword(3) scene illumination
Keyword(4) color correction
1st Author's Name Shoji Tominaga
1st Author's Affiliation Department of Engineering Informatics Osaka Electro-Communication University()
2nd Author's Name Satoru Ebisui
2nd Author's Affiliation Department of Engineering Informatics Osaka Electro-Communication University
3rd Author's Name Brian Wandell
3rd Author's Affiliation Dept. of Psychology Stanford University
Date 1999/12/17
Paper # PRMU99-184
Volume (vol) vol.99
Number (no) 515
Page pp.pp.-
#Pages 6
Date of Issue