IEICE TRANSACTIONS on Information
A Multi-Scale Adaptive Grey World Algorithm
Summary :
Grey world algorithm is a well-known color constancy algorithm. It is based on the Grey-World assumption i.e., the average reflectance of surfaces in the world is achromatic. This algorithm is simple and has low computational costs. However, for the images with several colors, the light source color could not be estimated correctly using the Grey World algorithm. In this paper, we propose a Multi-scale Adaptive Grey World algorithm (MAGW). First, multi-scale images are obtained based on wavelet transformation and the illumination color is estimated from different scales images. Then according to the estimated illumination color, the original image is mapped into the image under a canonical illumination with supervision of an adaptive reliability function, which is based on the image entropy. The experimental results show that our algorithm is effective and also has low computational costs.
- Publication
- IEICE TRANSACTIONS on Information Vol.E90-D No.7 pp.1121-1124
- Publication Date
- 2007/07/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1093/ietisy/e90-d.7.1121
- Type of Manuscript
- LETTER
- Category
- Image Recognition, Computer Vision
Authors
Keyword
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
Bing LI, De XU, Moon Ho LEE, Song-He FENG, "A Multi-Scale Adaptive Grey World Algorithm" in IEICE TRANSACTIONS on Information,
vol. E90-D, no. 7, pp. 1121-1124, July 2007, doi: 10.1093/ietisy/e90-d.7.1121.
Abstract: Grey world algorithm is a well-known color constancy algorithm. It is based on the Grey-World assumption i.e., the average reflectance of surfaces in the world is achromatic. This algorithm is simple and has low computational costs. However, for the images with several colors, the light source color could not be estimated correctly using the Grey World algorithm. In this paper, we propose a Multi-scale Adaptive Grey World algorithm (MAGW). First, multi-scale images are obtained based on wavelet transformation and the illumination color is estimated from different scales images. Then according to the estimated illumination color, the original image is mapped into the image under a canonical illumination with supervision of an adaptive reliability function, which is based on the image entropy. The experimental results show that our algorithm is effective and also has low computational costs.
URL: https://global.ieice.org/en_transactions/information/10.1093/ietisy/e90-d.7.1121/_p
Copy
@ARTICLE{e90-d_7_1121,
author={Bing LI, De XU, Moon Ho LEE, Song-He FENG, },
journal={IEICE TRANSACTIONS on Information},
title={A Multi-Scale Adaptive Grey World Algorithm},
year={2007},
volume={E90-D},
number={7},
pages={1121-1124},
abstract={Grey world algorithm is a well-known color constancy algorithm. It is based on the Grey-World assumption i.e., the average reflectance of surfaces in the world is achromatic. This algorithm is simple and has low computational costs. However, for the images with several colors, the light source color could not be estimated correctly using the Grey World algorithm. In this paper, we propose a Multi-scale Adaptive Grey World algorithm (MAGW). First, multi-scale images are obtained based on wavelet transformation and the illumination color is estimated from different scales images. Then according to the estimated illumination color, the original image is mapped into the image under a canonical illumination with supervision of an adaptive reliability function, which is based on the image entropy. The experimental results show that our algorithm is effective and also has low computational costs.},
keywords={},
doi={10.1093/ietisy/e90-d.7.1121},
ISSN={1745-1361},
month={July},}
Copy
TY - JOUR
TI - A Multi-Scale Adaptive Grey World Algorithm
T2 - IEICE TRANSACTIONS on Information
SP - 1121
EP - 1124
AU - Bing LI
AU - De XU
AU - Moon Ho LEE
AU - Song-He FENG
PY - 2007
DO - 10.1093/ietisy/e90-d.7.1121
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E90-D
IS - 7
JA - IEICE TRANSACTIONS on Information
Y1 - July 2007
AB - Grey world algorithm is a well-known color constancy algorithm. It is based on the Grey-World assumption i.e., the average reflectance of surfaces in the world is achromatic. This algorithm is simple and has low computational costs. However, for the images with several colors, the light source color could not be estimated correctly using the Grey World algorithm. In this paper, we propose a Multi-scale Adaptive Grey World algorithm (MAGW). First, multi-scale images are obtained based on wavelet transformation and the illumination color is estimated from different scales images. Then according to the estimated illumination color, the original image is mapped into the image under a canonical illumination with supervision of an adaptive reliability function, which is based on the image entropy. The experimental results show that our algorithm is effective and also has low computational costs.
ER -
English
