利用低通滤波器抑制超声图像中的斑点噪声

2019 2nd International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2019-03-01 DOI:10.1109/ICSPC46172.2019.8976634

Shroba Sherine A Alin, S. Sowmiya, Gnana Ranjitham E Shiny, Judie Dolly D Raveena

{"title":"利用低通滤波器抑制超声图像中的斑点噪声","authors":"Shroba Sherine A Alin, S. Sowmiya, Gnana Ranjitham E Shiny, Judie Dolly D Raveena","doi":"10.1109/ICSPC46172.2019.8976634","DOIUrl":null,"url":null,"abstract":"Speckle noise is one of the most critical disturbances that alter the quality of Synthetic Aperture Radar (SAR) coherent images. Speckle noise is reduced by different types of low pass filters and homomorphic filters. The range of the performance metrice of each low pass filters and Homomorphism filters determines the quality of the filtered image. The preference of the filter is determined by the performance Metrics. The results of various analyses after comparison of the performance metrics was observed and was identified that Low pass Butterworth filter achieved PSNR of 71%.","PeriodicalId":321652,"journal":{"name":"2019 2nd International Conference on Signal Processing and Communication (ICSPC)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Supression of Speckle Noise in Ultrasound Images Using Lowpass Filters\",\"authors\":\"Shroba Sherine A Alin, S. Sowmiya, Gnana Ranjitham E Shiny, Judie Dolly D Raveena\",\"doi\":\"10.1109/ICSPC46172.2019.8976634\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Speckle noise is one of the most critical disturbances that alter the quality of Synthetic Aperture Radar (SAR) coherent images. Speckle noise is reduced by different types of low pass filters and homomorphic filters. The range of the performance metrice of each low pass filters and Homomorphism filters determines the quality of the filtered image. The preference of the filter is determined by the performance Metrics. The results of various analyses after comparison of the performance metrics was observed and was identified that Low pass Butterworth filter achieved PSNR of 71%.\",\"PeriodicalId\":321652,\"journal\":{\"name\":\"2019 2nd International Conference on Signal Processing and Communication (ICSPC)\",\"volume\":\"52 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 2nd International Conference on Signal Processing and Communication (ICSPC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSPC46172.2019.8976634\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 2nd International Conference on Signal Processing and Communication (ICSPC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSPC46172.2019.8976634","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

散斑噪声是影响合成孔径雷达(SAR)相干图像质量的主要干扰之一。采用不同类型的低通滤波器和同态滤波器来降低散斑噪声。每个低通滤波器和同态滤波器的性能指标的范围决定了滤波后图像的质量。过滤器的首选项由性能度量决定。在对性能指标进行比较后，观察到各种分析的结果，并确定低通巴特沃斯滤波器实现了71%的PSNR。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Supression of Speckle Noise in Ultrasound Images Using Lowpass Filters

Speckle noise is one of the most critical disturbances that alter the quality of Synthetic Aperture Radar (SAR) coherent images. Speckle noise is reduced by different types of low pass filters and homomorphic filters. The range of the performance metrice of each low pass filters and Homomorphism filters determines the quality of the filtered image. The preference of the filter is determined by the performance Metrics. The results of various analyses after comparison of the performance metrics was observed and was identified that Low pass Butterworth filter achieved PSNR of 71%.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2019 2nd International Conference on Signal Processing and Communication (ICSPC)

自引率

0.00%

发文量