{"title":"图像拼接中基于视差的色彩校正","authors":"Chao Wang, Zeyu Gao, Qiankun Lu","doi":"10.1109/ICIVC50857.2020.9177451","DOIUrl":null,"url":null,"abstract":"As an effective image preprocessing method, color correction is widely used in the field of image stitching. However, due to the changeable visual environment, parallax often occurs in mosaic images. So far, there are few algorithms dealing with color correction under parallax situation. And most color correction methods produce poor results in images with parallax. This paper introduces a color correction algorithm which can also be applied in the case of parallax in image mosaic. We use VFC algorithm, color hue information and iterative calculation to obtain better color correction results. Compared with existing algorithms, it has the wider range of applications. The experiments show that our method has faster time efficiency and better results.","PeriodicalId":6806,"journal":{"name":"2020 IEEE 5th International Conference on Image, Vision and Computing (ICIVC)","volume":"33 1","pages":"69-74"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Parallax-Based Color Correction in Image Stitching\",\"authors\":\"Chao Wang, Zeyu Gao, Qiankun Lu\",\"doi\":\"10.1109/ICIVC50857.2020.9177451\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As an effective image preprocessing method, color correction is widely used in the field of image stitching. However, due to the changeable visual environment, parallax often occurs in mosaic images. So far, there are few algorithms dealing with color correction under parallax situation. And most color correction methods produce poor results in images with parallax. This paper introduces a color correction algorithm which can also be applied in the case of parallax in image mosaic. We use VFC algorithm, color hue information and iterative calculation to obtain better color correction results. Compared with existing algorithms, it has the wider range of applications. The experiments show that our method has faster time efficiency and better results.\",\"PeriodicalId\":6806,\"journal\":{\"name\":\"2020 IEEE 5th International Conference on Image, Vision and Computing (ICIVC)\",\"volume\":\"33 1\",\"pages\":\"69-74\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 5th International Conference on Image, Vision and Computing (ICIVC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIVC50857.2020.9177451\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 5th International Conference on Image, Vision and Computing (ICIVC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIVC50857.2020.9177451","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Parallax-Based Color Correction in Image Stitching
As an effective image preprocessing method, color correction is widely used in the field of image stitching. However, due to the changeable visual environment, parallax often occurs in mosaic images. So far, there are few algorithms dealing with color correction under parallax situation. And most color correction methods produce poor results in images with parallax. This paper introduces a color correction algorithm which can also be applied in the case of parallax in image mosaic. We use VFC algorithm, color hue information and iterative calculation to obtain better color correction results. Compared with existing algorithms, it has the wider range of applications. The experiments show that our method has faster time efficiency and better results.