Hybrid model of alternating least squares and root polynomial technique for color correction
Color correction is an image-altering technique that modifies image color in such a way that it matches a reference image. Many approaches have already been proposed by various researchers; however, those models have been unable to reduce color errors between two images, which results in inefficienc...
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| Other Authors: | , , , , |
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2023
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| Online Access: | https://depot.sorbonne.ae/handle/20.500.12458/1381 |
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| _version_ | 1857415062293053441 |
|---|---|
| author | Babbar, Geetanjali |
| author2 | Bajaj, Rohit Mittal, Nitin Mahajan, Shubham Abu Zitar, Raed Abualigah, Laith |
| author2_role | author author author author author |
| author_facet | Babbar, Geetanjali Bajaj, Rohit Mittal, Nitin Mahajan, Shubham Abu Zitar, Raed Abualigah, Laith |
| author_role | author |
| dc.creator.none.fl_str_mv | Babbar, Geetanjali Bajaj, Rohit Mittal, Nitin Mahajan, Shubham Abu Zitar, Raed Abualigah, Laith |
| dc.date.none.fl_str_mv | 2023-01-23T04:33:00Z 2023-01-23T04:33:00Z 2023 |
| dc.identifier.none.fl_str_mv | 1432-7643 1433-7479 https://depot.sorbonne.ae/handle/20.500.12458/1381 10.1007/s00500-023-07831-8 |
| dc.language.none.fl_str_mv | en |
| dc.relation.none.fl_str_mv | Soft Computing 1433-7479 |
| dc.subject.none.fl_str_mv | Color homography Color models: color correction Color transfer Illumination: estimation |
| dc.title.none.fl_str_mv | Hybrid model of alternating least squares and root polynomial technique for color correction |
| dc.type.none.fl_str_mv | Controlled Vocabulary for Resource Type Genres::text::periodical::journal::contribution to journal::journal article |
| description | Color correction is an image-altering technique that modifies image color in such a way that it matches a reference image. Many approaches have already been proposed by various researchers; however, those models have been unable to reduce color errors between two images, which results in inefficiency and poor-quality images. This research paper presents an effective and improved color correction model wherein alternate least square (ALS) and root polynomial (RP) are used together. The main objective of the proposed model is to reduce the error between a reference image and a target image to enhance the image quality and make them look realistic. To achieve this objective, the proposed model used the Amsterdam library of object images which contains a picture of single objects captured under various illumination angles and colors. The main contribution of this paper is a hybrid ALS + RP color correction technique, implemented on the dataset image that fixes its color as per the reference image and enhances its quality. The target image is then converted into three color models, i.e., LAB, LUV, and RGB into XYZ format. Finally, the color difference between a reference image and a target image is observed by calculating values for parameters like Mean, median, 95% quantile, and maximum error. The effectiveness of the suggested hybrid color correction approach is assessed and validated in MATLAB software for each color model. Through extensive experiments, it is observed that the proposed hybrid model yields the least errors for the RGB color model. This is followed up by LUV and then LAB, to prove its supremacy over other models. |
| id | sorbonner_5fbe3c01e8deece19dbf07b5ed7f9349 |
| identifier_str_mv | 1432-7643 1433-7479 10.1007/s00500-023-07831-8 |
| language_invalid_str_mv | en |
| network_acronym_str | sorbonner |
| network_name_str | Sorbonne University Abu Dhabi repository |
| oai_identifier_str | oai:depot.sorbonne.ae:20.500.12458/1381 |
| publishDate | 2023 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Hybrid model of alternating least squares and root polynomial technique for color correctionBabbar, GeetanjaliBajaj, RohitMittal, NitinMahajan, ShubhamAbu Zitar, RaedAbualigah, LaithColor homographyColor models: color correctionColor transferIllumination: estimationColor correction is an image-altering technique that modifies image color in such a way that it matches a reference image. Many approaches have already been proposed by various researchers; however, those models have been unable to reduce color errors between two images, which results in inefficiency and poor-quality images. This research paper presents an effective and improved color correction model wherein alternate least square (ALS) and root polynomial (RP) are used together. The main objective of the proposed model is to reduce the error between a reference image and a target image to enhance the image quality and make them look realistic. To achieve this objective, the proposed model used the Amsterdam library of object images which contains a picture of single objects captured under various illumination angles and colors. The main contribution of this paper is a hybrid ALS + RP color correction technique, implemented on the dataset image that fixes its color as per the reference image and enhances its quality. The target image is then converted into three color models, i.e., LAB, LUV, and RGB into XYZ format. Finally, the color difference between a reference image and a target image is observed by calculating values for parameters like Mean, median, 95% quantile, and maximum error. The effectiveness of the suggested hybrid color correction approach is assessed and validated in MATLAB software for each color model. Through extensive experiments, it is observed that the proposed hybrid model yields the least errors for the RGB color model. This is followed up by LUV and then LAB, to prove its supremacy over other models.2023-01-23T04:33:00Z2023-01-23T04:33:00Z2023Controlled Vocabulary for Resource Type Genres::text::periodical::journal::contribution to journal::journal article1432-76431433-7479https://depot.sorbonne.ae/handle/20.500.12458/138110.1007/s00500-023-07831-8enSoft Computing1433-7479oai:depot.sorbonne.ae:20.500.12458/13812023-06-14T09:41:41Z |
| spellingShingle | Hybrid model of alternating least squares and root polynomial technique for color correction Babbar, Geetanjali Color homography Color models: color correction Color transfer Illumination: estimation |
| title | Hybrid model of alternating least squares and root polynomial technique for color correction |
| title_full | Hybrid model of alternating least squares and root polynomial technique for color correction |
| title_fullStr | Hybrid model of alternating least squares and root polynomial technique for color correction |
| title_full_unstemmed | Hybrid model of alternating least squares and root polynomial technique for color correction |
| title_short | Hybrid model of alternating least squares and root polynomial technique for color correction |
| title_sort | Hybrid model of alternating least squares and root polynomial technique for color correction |
| topic | Color homography Color models: color correction Color transfer Illumination: estimation |
| url | https://depot.sorbonne.ae/handle/20.500.12458/1381 |