{"title":"结合双边和各向异性扩散滤波器的医学图像去噪","authors":"Arif Sameh Arif, Sarina Mansor, R. Logeswaran","doi":"10.1109/SCORED.2011.6148776","DOIUrl":null,"url":null,"abstract":"Image de-noising is a core operation in image processing and computer vision. In this paper, combination of two popular methods in image de-noising bilateral and anisotropic-diffusion filtering is investigated to reduce the noise in medical images, while preserving the clarity of images. The proposed method experimented on 23 MRI images. The results obtained from the proposed method gained higher peak signal to noise ratio (PSNR) and compression ratio (CR) performance in comparison with the traditional methods by more than 8%.","PeriodicalId":383828,"journal":{"name":"2011 IEEE Student Conference on Research and Development","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"Combined bilateral and anisotropic-diffusion filters for medical image de-noising\",\"authors\":\"Arif Sameh Arif, Sarina Mansor, R. Logeswaran\",\"doi\":\"10.1109/SCORED.2011.6148776\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Image de-noising is a core operation in image processing and computer vision. In this paper, combination of two popular methods in image de-noising bilateral and anisotropic-diffusion filtering is investigated to reduce the noise in medical images, while preserving the clarity of images. The proposed method experimented on 23 MRI images. The results obtained from the proposed method gained higher peak signal to noise ratio (PSNR) and compression ratio (CR) performance in comparison with the traditional methods by more than 8%.\",\"PeriodicalId\":383828,\"journal\":{\"name\":\"2011 IEEE Student Conference on Research and Development\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE Student Conference on Research and Development\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SCORED.2011.6148776\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE Student Conference on Research and Development","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SCORED.2011.6148776","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Combined bilateral and anisotropic-diffusion filters for medical image de-noising
Image de-noising is a core operation in image processing and computer vision. In this paper, combination of two popular methods in image de-noising bilateral and anisotropic-diffusion filtering is investigated to reduce the noise in medical images, while preserving the clarity of images. The proposed method experimented on 23 MRI images. The results obtained from the proposed method gained higher peak signal to noise ratio (PSNR) and compression ratio (CR) performance in comparison with the traditional methods by more than 8%.
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