Paper
13 January 2003 Estimation of spectral distribution of scene illumination from a single image with chromatic illuminant
Author Affiliations +
Proceedings Volume 5008, Color Imaging VIII: Processing, Hardcopy, and Applications; (2003) https://doi.org/10.1117/12.474878
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States
Abstract
The current paper proposes an illuminant estimation algorithm that estimates the spectral power distribution of an incident light source using its chromaticity determined based on the perceived illumination and highlight method. The proposed algorithm is composed of three steps. First, the illuminant chromaticity of the global incident light is estimated using a hybrid method that combines the perceived illumination and highlight region. Second, the surface spectral reflectance is then recovered from the image after decoupling the global incident illuminant for each channel. The surface spectral reflectance calculation is limited to the maximum achromatic region (MAR), which is the most achromatic and brightest region in the image, and estimated using the principal component analysis (PCA) method along with a set of given Munsell samples. Third, the closest colors are selected from a spectral database composed of reflected-lights generated by the given Munsell samples and a set of illuminants. Finally, the illuminant of the image is calculated using the average spectral distributions of the reflected-lights selected for the MAR region and its average surface reflectance. Simulations were performed using artificial color-biased images and the results confirmed the accuracy of the estimates produced by the proposed method for various illuminants.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yun-Tae Kim, Yang-Ho Cho, Cheol-Hee Lee, and Yeong-Ho Ha "Estimation of spectral distribution of scene illumination from a single image with chromatic illuminant", Proc. SPIE 5008, Color Imaging VIII: Processing, Hardcopy, and Applications, (13 January 2003); https://doi.org/10.1117/12.474878
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Cited by 2 scholarly publications.
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KEYWORDS
Databases

Reflectivity

Colorimetry

Reflection

Image restoration

Principal component analysis

Image analysis

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