{"title":"一种斑点图像增强滤波算法","authors":"Boyuan Yao, Ying Wu","doi":"10.1145/3569966.3570043","DOIUrl":null,"url":null,"abstract":"Noise reduction is one of the most exciting problems in speckle pattern. We present an Image Enhancement Filtering Algorithm on experimental speckle correlation fringes and speckle image of cone respectively. In the algorithm, adaptively automatic threshold and gradient of the detecting pixel is calculated according to the mean value of the 3 × 3 area pixels around the detecting pixel and the human vision system. The results show that this technique is capable of significantly improving the quality patterns and enhancing the contrast with the edge of the speckle image, as well as preserving more detailed information of the cone.","PeriodicalId":145580,"journal":{"name":"Proceedings of the 5th International Conference on Computer Science and Software Engineering","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Image Enhancement Filtering Algorithm for Speckle Patterns\",\"authors\":\"Boyuan Yao, Ying Wu\",\"doi\":\"10.1145/3569966.3570043\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Noise reduction is one of the most exciting problems in speckle pattern. We present an Image Enhancement Filtering Algorithm on experimental speckle correlation fringes and speckle image of cone respectively. In the algorithm, adaptively automatic threshold and gradient of the detecting pixel is calculated according to the mean value of the 3 × 3 area pixels around the detecting pixel and the human vision system. The results show that this technique is capable of significantly improving the quality patterns and enhancing the contrast with the edge of the speckle image, as well as preserving more detailed information of the cone.\",\"PeriodicalId\":145580,\"journal\":{\"name\":\"Proceedings of the 5th International Conference on Computer Science and Software Engineering\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 5th International Conference on Computer Science and Software Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3569966.3570043\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 5th International Conference on Computer Science and Software Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3569966.3570043","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Image Enhancement Filtering Algorithm for Speckle Patterns
Noise reduction is one of the most exciting problems in speckle pattern. We present an Image Enhancement Filtering Algorithm on experimental speckle correlation fringes and speckle image of cone respectively. In the algorithm, adaptively automatic threshold and gradient of the detecting pixel is calculated according to the mean value of the 3 × 3 area pixels around the detecting pixel and the human vision system. The results show that this technique is capable of significantly improving the quality patterns and enhancing the contrast with the edge of the speckle image, as well as preserving more detailed information of the cone.