IEICE TRANSACTIONS on Information
Edge-Based Color Constancy via Support Vector Regression
Summary :
Color constancy is the ability to measure colors of objects independent of the light source color. Various methods have been proposed to handle this problem. Most of them depend on the statistical distributions of the pixel values. Recent studies show that incorporation image derivatives are more effective than the direct use of pixel values. Based on this idea, a novel edge-based color constancy algorithm using support vector regression (SVR) is proposed. Contrary to existing SVR color constancy algorithm, which is computed from the zero-order structure of images, our method is based on the higher-order structure of images. The experimental results show that our algorithm is more effective than the zero-order SVR color constancy methods.
- Publication
- IEICE TRANSACTIONS on Information Vol.E92-D No.11 pp.2279-2282
- Publication Date
- 2009/11/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E92.D.2279
- Type of Manuscript
- LETTER
- Category
- Image Recognition, Computer Vision
Authors
Keyword
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Ning WANG, De XU, Bing LI, "Edge-Based Color Constancy via Support Vector Regression" in IEICE TRANSACTIONS on Information,
vol. E92-D, no. 11, pp. 2279-2282, November 2009, doi: 10.1587/transinf.E92.D.2279.
Abstract: Color constancy is the ability to measure colors of objects independent of the light source color. Various methods have been proposed to handle this problem. Most of them depend on the statistical distributions of the pixel values. Recent studies show that incorporation image derivatives are more effective than the direct use of pixel values. Based on this idea, a novel edge-based color constancy algorithm using support vector regression (SVR) is proposed. Contrary to existing SVR color constancy algorithm, which is computed from the zero-order structure of images, our method is based on the higher-order structure of images. The experimental results show that our algorithm is more effective than the zero-order SVR color constancy methods.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E92.D.2279/_p
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@ARTICLE{e92-d_11_2279,
author={Ning WANG, De XU, Bing LI, },
journal={IEICE TRANSACTIONS on Information},
title={Edge-Based Color Constancy via Support Vector Regression},
year={2009},
volume={E92-D},
number={11},
pages={2279-2282},
abstract={Color constancy is the ability to measure colors of objects independent of the light source color. Various methods have been proposed to handle this problem. Most of them depend on the statistical distributions of the pixel values. Recent studies show that incorporation image derivatives are more effective than the direct use of pixel values. Based on this idea, a novel edge-based color constancy algorithm using support vector regression (SVR) is proposed. Contrary to existing SVR color constancy algorithm, which is computed from the zero-order structure of images, our method is based on the higher-order structure of images. The experimental results show that our algorithm is more effective than the zero-order SVR color constancy methods.},
keywords={},
doi={10.1587/transinf.E92.D.2279},
ISSN={1745-1361},
month={November},}
Copy
TY - JOUR
TI - Edge-Based Color Constancy via Support Vector Regression
T2 - IEICE TRANSACTIONS on Information
SP - 2279
EP - 2282
AU - Ning WANG
AU - De XU
AU - Bing LI
PY - 2009
DO - 10.1587/transinf.E92.D.2279
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E92-D
IS - 11
JA - IEICE TRANSACTIONS on Information
Y1 - November 2009
AB - Color constancy is the ability to measure colors of objects independent of the light source color. Various methods have been proposed to handle this problem. Most of them depend on the statistical distributions of the pixel values. Recent studies show that incorporation image derivatives are more effective than the direct use of pixel values. Based on this idea, a novel edge-based color constancy algorithm using support vector regression (SVR) is proposed. Contrary to existing SVR color constancy algorithm, which is computed from the zero-order structure of images, our method is based on the higher-order structure of images. The experimental results show that our algorithm is more effective than the zero-order SVR color constancy methods.
ER -
English
