{"title":"图像去噪技术综述","authors":"S. Trivedi, K. Singh","doi":"10.1109/CCTES.2018.8674102","DOIUrl":null,"url":null,"abstract":"Images are often corrupted during image acquisition, compression, processing and storing by different kind of noises. Image de-noising is a fundamental issue in biomedical digital image processing. This paper discuss the result of three de-noising techniques. The non-linear filtering technique deal with de-noising problems without affecting the class of an image with good results. This paper covers sensible feature of three types of filters which is used for suppression of noise. An MRI scan of human head image has been taken, which has been contaminated by various values of salt & pepper noise. The outputs of de-noised image in terms of peak signal to noise ratio (PSNR) and mean squared error (MSE) are used for studying the performance of different filters.","PeriodicalId":219876,"journal":{"name":"2018 International Conference on Computational and Characterization Techniques in Engineering & Sciences (CCTES)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Technical Review of Image de-Noising Techniques\",\"authors\":\"S. Trivedi, K. Singh\",\"doi\":\"10.1109/CCTES.2018.8674102\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Images are often corrupted during image acquisition, compression, processing and storing by different kind of noises. Image de-noising is a fundamental issue in biomedical digital image processing. This paper discuss the result of three de-noising techniques. The non-linear filtering technique deal with de-noising problems without affecting the class of an image with good results. This paper covers sensible feature of three types of filters which is used for suppression of noise. An MRI scan of human head image has been taken, which has been contaminated by various values of salt & pepper noise. The outputs of de-noised image in terms of peak signal to noise ratio (PSNR) and mean squared error (MSE) are used for studying the performance of different filters.\",\"PeriodicalId\":219876,\"journal\":{\"name\":\"2018 International Conference on Computational and Characterization Techniques in Engineering & Sciences (CCTES)\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Computational and Characterization Techniques in Engineering & Sciences (CCTES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCTES.2018.8674102\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Computational and Characterization Techniques in Engineering & Sciences (CCTES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCTES.2018.8674102","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Images are often corrupted during image acquisition, compression, processing and storing by different kind of noises. Image de-noising is a fundamental issue in biomedical digital image processing. This paper discuss the result of three de-noising techniques. The non-linear filtering technique deal with de-noising problems without affecting the class of an image with good results. This paper covers sensible feature of three types of filters which is used for suppression of noise. An MRI scan of human head image has been taken, which has been contaminated by various values of salt & pepper noise. The outputs of de-noised image in terms of peak signal to noise ratio (PSNR) and mean squared error (MSE) are used for studying the performance of different filters.