{"title":"一种恢复离焦图像的新方法","authors":"Wei-Wen Wu, Jinying Zhong, Zhi-Yan Wang","doi":"10.1109/ICMLC.2010.5580702","DOIUrl":null,"url":null,"abstract":"Image degradation is associated with many factors. We first give a brief introduction for the optical theory of defocused image, and then discuss the models of defocusing and introduce an effective way to calculate the PSF (Point Spread Function) of defocus. With the Gaussian model and degradation of defocus in parameter estimation, we propose a new method to reconstruct defocused image, which is based on Lucy-Richardson Algorithm combined with Wiener Adaptive filtering removing the noise. The simulation results show that the new method can achieve good recovery results.","PeriodicalId":126080,"journal":{"name":"2010 International Conference on Machine Learning and Cybernetics","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"A new method for restoration of defocused image\",\"authors\":\"Wei-Wen Wu, Jinying Zhong, Zhi-Yan Wang\",\"doi\":\"10.1109/ICMLC.2010.5580702\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Image degradation is associated with many factors. We first give a brief introduction for the optical theory of defocused image, and then discuss the models of defocusing and introduce an effective way to calculate the PSF (Point Spread Function) of defocus. With the Gaussian model and degradation of defocus in parameter estimation, we propose a new method to reconstruct defocused image, which is based on Lucy-Richardson Algorithm combined with Wiener Adaptive filtering removing the noise. The simulation results show that the new method can achieve good recovery results.\",\"PeriodicalId\":126080,\"journal\":{\"name\":\"2010 International Conference on Machine Learning and Cybernetics\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Machine Learning and Cybernetics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMLC.2010.5580702\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Machine Learning and Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMLC.2010.5580702","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Image degradation is associated with many factors. We first give a brief introduction for the optical theory of defocused image, and then discuss the models of defocusing and introduce an effective way to calculate the PSF (Point Spread Function) of defocus. With the Gaussian model and degradation of defocus in parameter estimation, we propose a new method to reconstruct defocused image, which is based on Lucy-Richardson Algorithm combined with Wiener Adaptive filtering removing the noise. The simulation results show that the new method can achieve good recovery results.