Improvement of Color Correction for Digital Photographs
In other way misuse of correct illumination at the capture moment could affect the image landmarks ; regarding color brightness and the increasing “color cast “ which might cause the image to appear in an unacceptable Or unexpected manner. Thus; several algorithms have been developed to solve these...
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| Format: | Article |
| Language: | English |
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Mosul University
2010-12-01
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| Series: | Al-Rafidain Journal of Computer Sciences and Mathematics |
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| Online Access: | https://csmj.mosuljournals.com/article_163927_3d488dd608b62ce938a1ec8ddc2f0ac8.pdf |
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| _version_ | 1850195424691879936 |
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| author | Manar Kashmola Zahraa Al Kattan |
| author_facet | Manar Kashmola Zahraa Al Kattan |
| author_sort | Manar Kashmola |
| collection | DOAJ |
| description | In other way misuse of correct illumination at the capture moment could affect the image landmarks ; regarding color brightness and the increasing “color cast “ which might cause the image to appear in an unacceptable Or unexpected manner. Thus; several algorithms have been developed to solve these problems and balancing image color and recover the real color of the landscape.
In this research an algorithm has been developed, depending on some statistics tools like (Mean, Variance and Equivalent Circle). Which leads to finding out the influential color in the image which leads to the alteration of the nature of its colors. It is called “color cast “. It could be classified into evident cast, predominant color, ambiguous cast or no cast. Then removing the cast distortion from the image and using error back propagation network for images classification into color cast carrier or uncarrier. This research has been applied on colored digital photos (BMP). More than (100) colored images were also used containing all sorts of color cast that will be found out, classified and finally removed from the image by using algorithm. The percentage of images which have no cast are (27%),The images have evident cast are (25%), where the images which have ambiguous cast are (16%),At the last ;the images which classified as predominant color are (12%),as well as there are (20%) of images classified as wrong . |
| format | Article |
| id | doaj-art-aa029f14dc5d4776b07eafd7349b0c3d |
| institution | OA Journals |
| issn | 1815-4816 2311-7990 |
| language | English |
| publishDate | 2010-12-01 |
| publisher | Mosul University |
| record_format | Article |
| series | Al-Rafidain Journal of Computer Sciences and Mathematics |
| spelling | doaj-art-aa029f14dc5d4776b07eafd7349b0c3d2025-08-20T02:13:45ZengMosul UniversityAl-Rafidain Journal of Computer Sciences and Mathematics1815-48162311-79902010-12-0173577610.33899/csmj.2010.163927163927Improvement of Color Correction for Digital PhotographsManar Kashmola0Zahraa Al Kattan1College of Computer And Math .Sciences University of MosulCollege of Computer And Math .Sciences University of MosulIn other way misuse of correct illumination at the capture moment could affect the image landmarks ; regarding color brightness and the increasing “color cast “ which might cause the image to appear in an unacceptable Or unexpected manner. Thus; several algorithms have been developed to solve these problems and balancing image color and recover the real color of the landscape. In this research an algorithm has been developed, depending on some statistics tools like (Mean, Variance and Equivalent Circle). Which leads to finding out the influential color in the image which leads to the alteration of the nature of its colors. It is called “color cast “. It could be classified into evident cast, predominant color, ambiguous cast or no cast. Then removing the cast distortion from the image and using error back propagation network for images classification into color cast carrier or uncarrier. This research has been applied on colored digital photos (BMP). More than (100) colored images were also used containing all sorts of color cast that will be found out, classified and finally removed from the image by using algorithm. The percentage of images which have no cast are (27%),The images have evident cast are (25%), where the images which have ambiguous cast are (16%),At the last ;the images which classified as predominant color are (12%),as well as there are (20%) of images classified as wrong .https://csmj.mosuljournals.com/article_163927_3d488dd608b62ce938a1ec8ddc2f0ac8.pdfcolor correctioncolor castback propagation networkcolor image balancing |
| spellingShingle | Manar Kashmola Zahraa Al Kattan Improvement of Color Correction for Digital Photographs Al-Rafidain Journal of Computer Sciences and Mathematics color correction color cast back propagation network color image balancing |
| title | Improvement of Color Correction for Digital Photographs |
| title_full | Improvement of Color Correction for Digital Photographs |
| title_fullStr | Improvement of Color Correction for Digital Photographs |
| title_full_unstemmed | Improvement of Color Correction for Digital Photographs |
| title_short | Improvement of Color Correction for Digital Photographs |
| title_sort | improvement of color correction for digital photographs |
| topic | color correction color cast back propagation network color image balancing |
| url | https://csmj.mosuljournals.com/article_163927_3d488dd608b62ce938a1ec8ddc2f0ac8.pdf |
| work_keys_str_mv | AT manarkashmola improvementofcolorcorrectionfordigitalphotographs AT zahraaalkattan improvementofcolorcorrectionfordigitalphotographs |