Color Constancy Algorithm for Mixed-Illuminant Scene Images
The intrinsic properties of the ambient illuminant significantly alter the true colors of objects within an image. Most existing color constancy algorithms assume a uniformly lit scene across the image. The performance of these algorithms deteriorates considerably in the presence of mixed illuminant...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2018-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8300518/ |
| _version_ | 1818410550120415232 |
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| author | Md Akmol Hussain Akbar Sheikh Akbari |
| author_facet | Md Akmol Hussain Akbar Sheikh Akbari |
| author_sort | Md Akmol Hussain |
| collection | DOAJ |
| description | The intrinsic properties of the ambient illuminant significantly alter the true colors of objects within an image. Most existing color constancy algorithms assume a uniformly lit scene across the image. The performance of these algorithms deteriorates considerably in the presence of mixed illuminants. Hence, a potential solution to this problem is the consideration of a combination of image regional color constancy weighing factors (CCWFs) in determining the CCWF for each pixel. This paper presents a color constancy algorithm for mixed-illuminant scene images. The proposed algorithm splits the input image into multiple segments and uses the normalized average absolute difference of each segment as a measure for determining whether the segment's pixels contain reliable color constancy information. The Max-RGB principle is then used to calculate the initial weighting factors for each selected segment. The CCWF for each image pixel is then calculated by combining the weighting factors of the selected segments, which are adjusted by the normalized Euclidian distances of the pixel from the centers of the selected segments. Experimental results on images from five benchmark data sets show that the proposed algorithm subjectively outperforms the state-of-the-art techniques, while its objective performance is comparable with those of the state-of-the-art techniques. |
| first_indexed | 2024-12-14T10:17:18Z |
| format | Article |
| id | doaj.art-61e74c73bd3246d79ba2df3faa55684b |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-14T10:17:18Z |
| publishDate | 2018-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-61e74c73bd3246d79ba2df3faa55684b2022-12-21T23:06:44ZengIEEEIEEE Access2169-35362018-01-0168964897610.1109/ACCESS.2018.28085028300518Color Constancy Algorithm for Mixed-Illuminant Scene ImagesMd Akmol Hussain0https://orcid.org/0000-0003-1364-9151Akbar Sheikh Akbari1School of Computing, Creative Technology & Engineering, Leeds Beckett University, Leeds, U.K.School of Computing, Creative Technology & Engineering, Leeds Beckett University, Leeds, U.K.The intrinsic properties of the ambient illuminant significantly alter the true colors of objects within an image. Most existing color constancy algorithms assume a uniformly lit scene across the image. The performance of these algorithms deteriorates considerably in the presence of mixed illuminants. Hence, a potential solution to this problem is the consideration of a combination of image regional color constancy weighing factors (CCWFs) in determining the CCWF for each pixel. This paper presents a color constancy algorithm for mixed-illuminant scene images. The proposed algorithm splits the input image into multiple segments and uses the normalized average absolute difference of each segment as a measure for determining whether the segment's pixels contain reliable color constancy information. The Max-RGB principle is then used to calculate the initial weighting factors for each selected segment. The CCWF for each image pixel is then calculated by combining the weighting factors of the selected segments, which are adjusted by the normalized Euclidian distances of the pixel from the centers of the selected segments. Experimental results on images from five benchmark data sets show that the proposed algorithm subjectively outperforms the state-of-the-art techniques, while its objective performance is comparable with those of the state-of-the-art techniques.https://ieeexplore.ieee.org/document/8300518/Color constancymultiple illuminantssegmentationMax-RGB |
| spellingShingle | Md Akmol Hussain Akbar Sheikh Akbari Color Constancy Algorithm for Mixed-Illuminant Scene Images IEEE Access Color constancy multiple illuminants segmentation Max-RGB |
| title | Color Constancy Algorithm for Mixed-Illuminant Scene Images |
| title_full | Color Constancy Algorithm for Mixed-Illuminant Scene Images |
| title_fullStr | Color Constancy Algorithm for Mixed-Illuminant Scene Images |
| title_full_unstemmed | Color Constancy Algorithm for Mixed-Illuminant Scene Images |
| title_short | Color Constancy Algorithm for Mixed-Illuminant Scene Images |
| title_sort | color constancy algorithm for mixed illuminant scene images |
| topic | Color constancy multiple illuminants segmentation Max-RGB |
| url | https://ieeexplore.ieee.org/document/8300518/ |
| work_keys_str_mv | AT mdakmolhussain colorconstancyalgorithmformixedilluminantsceneimages AT akbarsheikhakbari colorconstancyalgorithmformixedilluminantsceneimages |