{"title":"基于混合色通道相关性的彩色滤波器阵列插值新方法","authors":"Yipeng Hua, Xiaoyang Miao, Xiangdong Chen","doi":"10.1109/SITIS.2017.51","DOIUrl":null,"url":null,"abstract":"In this paper, we proposed a new demosaicking method based on mixed color channel correlation. Different from conventional interpolation methods based on only two or four directions, the proposed method exploits the mixed color channel correlation within the local sliding window to improve the interpolation performance. The principle idea of our proposed method is based on the correlation of spatial closeness and spectral similarity between the high and low-resolution from the raw CFA image. By using geometric duality of Bayer CFA pattern, a robust interpolation model is proposed with optimal interpolation coefficients. As compared with the latest demosaicking algorithms, experiments show that the proposed algorithm provides superior performance in terms of both objective and subjective image qualities.","PeriodicalId":153165,"journal":{"name":"2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"New Color Filter Array Interpolation Method Based on Mixed Color Channel Correlation\",\"authors\":\"Yipeng Hua, Xiaoyang Miao, Xiangdong Chen\",\"doi\":\"10.1109/SITIS.2017.51\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we proposed a new demosaicking method based on mixed color channel correlation. Different from conventional interpolation methods based on only two or four directions, the proposed method exploits the mixed color channel correlation within the local sliding window to improve the interpolation performance. The principle idea of our proposed method is based on the correlation of spatial closeness and spectral similarity between the high and low-resolution from the raw CFA image. By using geometric duality of Bayer CFA pattern, a robust interpolation model is proposed with optimal interpolation coefficients. As compared with the latest demosaicking algorithms, experiments show that the proposed algorithm provides superior performance in terms of both objective and subjective image qualities.\",\"PeriodicalId\":153165,\"journal\":{\"name\":\"2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SITIS.2017.51\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SITIS.2017.51","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
New Color Filter Array Interpolation Method Based on Mixed Color Channel Correlation
In this paper, we proposed a new demosaicking method based on mixed color channel correlation. Different from conventional interpolation methods based on only two or four directions, the proposed method exploits the mixed color channel correlation within the local sliding window to improve the interpolation performance. The principle idea of our proposed method is based on the correlation of spatial closeness and spectral similarity between the high and low-resolution from the raw CFA image. By using geometric duality of Bayer CFA pattern, a robust interpolation model is proposed with optimal interpolation coefficients. As compared with the latest demosaicking algorithms, experiments show that the proposed algorithm provides superior performance in terms of both objective and subjective image qualities.