在噪声图像序列中使用层次运动补偿进行鲁棒降噪

2009 Digest of Technical Papers International Conference on Consumer Electronics Pub Date : 2009-05-29 DOI:10.1109/ICCE.2009.5012248

Yoon Kim, J. J. Oh, Byung-Tae Choi, Seung-Jong Choi, Eung-Tae Kim

{"title":"在噪声图像序列中使用层次运动补偿进行鲁棒降噪","authors":"Yoon Kim, J. J. Oh, Byung-Tae Choi, Seung-Jong Choi, Eung-Tae Kim","doi":"10.1109/ICCE.2009.5012248","DOIUrl":null,"url":null,"abstract":"In this paper, robust noise reduction method is proposed to stably reduce the noise by applying the adaptive temporal IIR filter using the hierarchical motion compensation. Motion vector of each pixel is obtained by hierarchical motion estimation which is reducing template block size from 8×8, to 4×4 and to 2×2. With obtained motion vector, filter weight is adjusted adaptively according to the correlation between the related pixels which is determined considering not only pixel similarity to temporal axis but also the neighboring pixel variation in spatial domain.","PeriodicalId":154986,"journal":{"name":"2009 Digest of Technical Papers International Conference on Consumer Electronics","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Robust noise reduction using a hierarchical motion compensation in noisy image sequences\",\"authors\":\"Yoon Kim, J. J. Oh, Byung-Tae Choi, Seung-Jong Choi, Eung-Tae Kim\",\"doi\":\"10.1109/ICCE.2009.5012248\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, robust noise reduction method is proposed to stably reduce the noise by applying the adaptive temporal IIR filter using the hierarchical motion compensation. Motion vector of each pixel is obtained by hierarchical motion estimation which is reducing template block size from 8×8, to 4×4 and to 2×2. With obtained motion vector, filter weight is adjusted adaptively according to the correlation between the related pixels which is determined considering not only pixel similarity to temporal axis but also the neighboring pixel variation in spatial domain.\",\"PeriodicalId\":154986,\"journal\":{\"name\":\"2009 Digest of Technical Papers International Conference on Consumer Electronics\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-05-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Digest of Technical Papers International Conference on Consumer Electronics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCE.2009.5012248\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Digest of Technical Papers International Conference on Consumer Electronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCE.2009.5012248","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

摘要

本文提出了一种鲁棒降噪方法，采用层次运动补偿的自适应时域IIR滤波器稳定降噪。通过分层运动估计得到每个像素的运动向量，将模板块大小从8×8、减小到4×4、减小到2×2。在得到运动向量后，根据相关像素之间的相关性自适应调整滤波器权重，该相关性既考虑像素与时间轴的相似性，又考虑相邻像素在空间域的变化。

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

Robust noise reduction using a hierarchical motion compensation in noisy image sequences

In this paper, robust noise reduction method is proposed to stably reduce the noise by applying the adaptive temporal IIR filter using the hierarchical motion compensation. Motion vector of each pixel is obtained by hierarchical motion estimation which is reducing template block size from 8×8, to 4×4 and to 2×2. With obtained motion vector, filter weight is adjusted adaptively according to the correlation between the related pixels which is determined considering not only pixel similarity to temporal axis but also the neighboring pixel variation in spatial 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

2009 Digest of Technical Papers International Conference on Consumer Electronics

自引率

0.00%

发文量