{"title":"Noise Reduction of Video Sequences Using Detection Method","authors":"Liangting Ma, Weizhen Sun, Guiquan Xi","doi":"10.1109/ICETC.2009.38","DOIUrl":null,"url":null,"abstract":"A noise reduction method of video sequences using moving and noise detection has been proposed in this paper. The proposed filtering method firstly divides pixels into stationary and large moving deviation. Afterwards, by a further detection, we divide the pixels of large moving deviation into noise causing and moving causing so as to use different filtering algorithm to obtain the desired effect. Experimental results have shown that, compared with the conventional adaptive temporal video denoising method, the proposed method protects the edge and detail part in the image more effective, and also overcomes the trailing phenomenon well. Meanwhile, the proposed method has a small computation load, so can be realized and combined with other spatial noise reduction algorithm easily. In a way, it has a certain application value.","PeriodicalId":377688,"journal":{"name":"2009 International Conference on Education Technology and Computer","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Education Technology and Computer","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICETC.2009.38","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A noise reduction method of video sequences using moving and noise detection has been proposed in this paper. The proposed filtering method firstly divides pixels into stationary and large moving deviation. Afterwards, by a further detection, we divide the pixels of large moving deviation into noise causing and moving causing so as to use different filtering algorithm to obtain the desired effect. Experimental results have shown that, compared with the conventional adaptive temporal video denoising method, the proposed method protects the edge and detail part in the image more effective, and also overcomes the trailing phenomenon well. Meanwhile, the proposed method has a small computation load, so can be realized and combined with other spatial noise reduction algorithm easily. In a way, it has a certain application value.