SAR图像中自适应滤波降噪性能比较

2018 International Conference on Intelligent Computing and Communication for Smart World (I2C2SW) Pub Date : 2018-12-01 DOI:10.1109/I2C2SW45816.2018.8997166

G. Mageshkumar, S. Suthagar, K. Tamilselvan

{"title":"SAR图像中自适应滤波降噪性能比较","authors":"G. Mageshkumar, S. Suthagar, K. Tamilselvan","doi":"10.1109/I2C2SW45816.2018.8997166","DOIUrl":null,"url":null,"abstract":"Noise is the most common problem in imaging systems that affects the quality of the image. Noise is unwanted data that has the capability to reduce the contrast and deteriorate the object’s size and shape in the image. It also blurs the edges or dilutes the fine details in the image. Reducing the noise in images has become very essential in image processing. This paper presents the comparison of Frost and Kaun filter for noise reduction in images. Speckle is a characteristic attribute of SAR(Synthetic aperture radar) and Ultrasonic images. Speckle noise is modelled as spatially correlated multiplicative noise. The speckle noise filters are designed for enhancement of visualization of speckle images. SAR and Ultrasound are the main applications areas for speckle noise filters.","PeriodicalId":212347,"journal":{"name":"2018 International Conference on Intelligent Computing and Communication for Smart World (I2C2SW)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Performance Comparison of Adaptive Filters for Speckle Noise Reduction in SAR Images\",\"authors\":\"G. Mageshkumar, S. Suthagar, K. Tamilselvan\",\"doi\":\"10.1109/I2C2SW45816.2018.8997166\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Noise is the most common problem in imaging systems that affects the quality of the image. Noise is unwanted data that has the capability to reduce the contrast and deteriorate the object’s size and shape in the image. It also blurs the edges or dilutes the fine details in the image. Reducing the noise in images has become very essential in image processing. This paper presents the comparison of Frost and Kaun filter for noise reduction in images. Speckle is a characteristic attribute of SAR(Synthetic aperture radar) and Ultrasonic images. Speckle noise is modelled as spatially correlated multiplicative noise. The speckle noise filters are designed for enhancement of visualization of speckle images. SAR and Ultrasound are the main applications areas for speckle noise filters.\",\"PeriodicalId\":212347,\"journal\":{\"name\":\"2018 International Conference on Intelligent Computing and Communication for Smart World (I2C2SW)\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Intelligent Computing and Communication for Smart World (I2C2SW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/I2C2SW45816.2018.8997166\",\"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 Intelligent Computing and Communication for Smart World (I2C2SW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/I2C2SW45816.2018.8997166","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

噪声是影响图像质量的成像系统中最常见的问题。噪声是不需要的数据，它有能力降低对比度，破坏图像中物体的大小和形状。它还模糊了图像的边缘或淡化了图像中的细节。在图像处理中，降低图像中的噪声是非常重要的。本文介绍了弗罗斯特滤波和考恩滤波在图像降噪方面的比较。斑点是合成孔径雷达(SAR)和超声图像的特征属性。散斑噪声建模为空间相关乘性噪声。散斑噪声滤波器是为了增强散斑图像的可视化而设计的。SAR和超声是散斑噪声滤波器的主要应用领域。

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

Performance Comparison of Adaptive Filters for Speckle Noise Reduction in SAR Images

Noise is the most common problem in imaging systems that affects the quality of the image. Noise is unwanted data that has the capability to reduce the contrast and deteriorate the object’s size and shape in the image. It also blurs the edges or dilutes the fine details in the image. Reducing the noise in images has become very essential in image processing. This paper presents the comparison of Frost and Kaun filter for noise reduction in images. Speckle is a characteristic attribute of SAR(Synthetic aperture radar) and Ultrasonic images. Speckle noise is modelled as spatially correlated multiplicative noise. The speckle noise filters are designed for enhancement of visualization of speckle images. SAR and Ultrasound are the main applications areas for speckle noise filters.

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

2018 International Conference on Intelligent Computing and Communication for Smart World (I2C2SW)

自引率

0.00%

发文量