{"title":"空间域滤波器用于医学图像增强的比较研究","authors":"C. Narasimha, A. N. Rao","doi":"10.1109/SPACES.2015.7058268","DOIUrl":null,"url":null,"abstract":"Now a day's representation of visual data in digital images is a good way of communication, but the image is degraded with the noise after the transmission. Noise is a major factor that effects image quality which is mainly produced in the methods of image acquirement and transmission. Image processing is required before the image can be utilized. Denoising the images holds the operation of the data of image to yields a visually high quality image. The main focus of this paper is, it presents the types of noise models, different types of noises and differentiating of image enhancement techniques. Here we provide a comparative study & exploration of different image enhancement algorithms.","PeriodicalId":432479,"journal":{"name":"2015 International Conference on Signal Processing and Communication Engineering Systems","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"A comparative study: Spatial domain filter for medical image enhancement\",\"authors\":\"C. Narasimha, A. N. Rao\",\"doi\":\"10.1109/SPACES.2015.7058268\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Now a day's representation of visual data in digital images is a good way of communication, but the image is degraded with the noise after the transmission. Noise is a major factor that effects image quality which is mainly produced in the methods of image acquirement and transmission. Image processing is required before the image can be utilized. Denoising the images holds the operation of the data of image to yields a visually high quality image. The main focus of this paper is, it presents the types of noise models, different types of noises and differentiating of image enhancement techniques. Here we provide a comparative study & exploration of different image enhancement algorithms.\",\"PeriodicalId\":432479,\"journal\":{\"name\":\"2015 International Conference on Signal Processing and Communication Engineering Systems\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-03-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Signal Processing and Communication Engineering Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SPACES.2015.7058268\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Signal Processing and Communication Engineering Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPACES.2015.7058268","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A comparative study: Spatial domain filter for medical image enhancement
Now a day's representation of visual data in digital images is a good way of communication, but the image is degraded with the noise after the transmission. Noise is a major factor that effects image quality which is mainly produced in the methods of image acquirement and transmission. Image processing is required before the image can be utilized. Denoising the images holds the operation of the data of image to yields a visually high quality image. The main focus of this paper is, it presents the types of noise models, different types of noises and differentiating of image enhancement techniques. Here we provide a comparative study & exploration of different image enhancement algorithms.