{"title":"彩色图像去噪与盲反卷积技术的研究","authors":"Mircea Weingart, Orest Vascan","doi":"10.1109/ECAI.2013.6636158","DOIUrl":null,"url":null,"abstract":"Images - color or grayscale - are subject to various types of noise: additive - such as Gaussian and salt-and-pepper noise, multiplicative - such as speckle noise.. This paper analyses some image blind deblurring and denoising techniques that may be used to efficiently restore color images.","PeriodicalId":105698,"journal":{"name":"Proceedings of the International Conference on ELECTRONICS, COMPUTERS and ARTIFICIAL INTELLIGENCE - ECAI-2013","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A study on some techniques for denoising and blind deconvolution of color images\",\"authors\":\"Mircea Weingart, Orest Vascan\",\"doi\":\"10.1109/ECAI.2013.6636158\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Images - color or grayscale - are subject to various types of noise: additive - such as Gaussian and salt-and-pepper noise, multiplicative - such as speckle noise.. This paper analyses some image blind deblurring and denoising techniques that may be used to efficiently restore color images.\",\"PeriodicalId\":105698,\"journal\":{\"name\":\"Proceedings of the International Conference on ELECTRONICS, COMPUTERS and ARTIFICIAL INTELLIGENCE - ECAI-2013\",\"volume\":\"54 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the International Conference on ELECTRONICS, COMPUTERS and ARTIFICIAL INTELLIGENCE - ECAI-2013\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ECAI.2013.6636158\",\"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 International Conference on ELECTRONICS, COMPUTERS and ARTIFICIAL INTELLIGENCE - ECAI-2013","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECAI.2013.6636158","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A study on some techniques for denoising and blind deconvolution of color images
Images - color or grayscale - are subject to various types of noise: additive - such as Gaussian and salt-and-pepper noise, multiplicative - such as speckle noise.. This paper analyses some image blind deblurring and denoising techniques that may be used to efficiently restore color images.