应用维纳滤波器抑制图像中的白噪声:小波与傅立叶基

2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus) Pub Date : 2021-01-26 DOI:10.1109/ElConRus51938.2021.9396470

Kurban A. Alimagadov, S. Umnyashkin

{"title":"应用维纳滤波器抑制图像中的白噪声:小波与傅立叶基","authors":"Kurban A. Alimagadov, S. Umnyashkin","doi":"10.1109/ElConRus51938.2021.9396470","DOIUrl":null,"url":null,"abstract":"A method for suppressing additive white noise in images based on Wiener filtering in the domain of discrete wavelet transform (DWT) is proposed. The method outperforms such traditional methods as \"hard\" and \"soft\" DWT thresholding. Having less computational complexity, the proposed method shows the results of denoising similar to Wiener filtering in the frequency domain.","PeriodicalId":447345,"journal":{"name":"2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus)","volume":"2015 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application of Wiener Filter to Suppress White Noise in Images: Wavelet vs Fourier Basis\",\"authors\":\"Kurban A. Alimagadov, S. Umnyashkin\",\"doi\":\"10.1109/ElConRus51938.2021.9396470\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A method for suppressing additive white noise in images based on Wiener filtering in the domain of discrete wavelet transform (DWT) is proposed. The method outperforms such traditional methods as \\\"hard\\\" and \\\"soft\\\" DWT thresholding. Having less computational complexity, the proposed method shows the results of denoising similar to Wiener filtering in the frequency domain.\",\"PeriodicalId\":447345,\"journal\":{\"name\":\"2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus)\",\"volume\":\"2015 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ElConRus51938.2021.9396470\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ElConRus51938.2021.9396470","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

提出了一种基于离散小波变换(DWT)域维纳滤波的图像加性白噪声抑制方法。该方法优于传统的“硬”和“软”DWT阈值方法。该方法具有较低的计算复杂度，在频域上的去噪效果与维纳滤波相似。

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

Application of Wiener Filter to Suppress White Noise in Images: Wavelet vs Fourier Basis

A method for suppressing additive white noise in images based on Wiener filtering in the domain of discrete wavelet transform (DWT) is proposed. The method outperforms such traditional methods as "hard" and "soft" DWT thresholding. Having less computational complexity, the proposed method shows the results of denoising similar to Wiener filtering in the frequency domain.

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

2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus)

自引率

0.00%

发文量