{"title":"VIDEO DENOISING AND QUALITY IMPROVEMENT USING NEW THRESHOLDING BASED DWT & DAMMW ALGORITHM","authors":"J. Upadhyay, Bharat Mishra, Prabhat Patel","doi":"10.1109/SCEECS.2018.8546981","DOIUrl":null,"url":null,"abstract":"In this paper, a new algorithm for color video denoising is proposed. This is a joint implementation of thresholding based DWT & DAMMW filtering algorithms. It provides a better improvement in the parameters of denoising and removes any type of noise easily. Moreover, proposed algorithm consists of a new wavelet threshold denoising function with an improved threshold value. It will not only retain the advantages of hard and soft denoising functions but also overcomes the disadvantages of hard denoising function and soft denoising function. Simulation result ensures the effectiveness of proposed work.","PeriodicalId":446667,"journal":{"name":"2018 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SCEECS.2018.8546981","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
In this paper, a new algorithm for color video denoising is proposed. This is a joint implementation of thresholding based DWT & DAMMW filtering algorithms. It provides a better improvement in the parameters of denoising and removes any type of noise easily. Moreover, proposed algorithm consists of a new wavelet threshold denoising function with an improved threshold value. It will not only retain the advantages of hard and soft denoising functions but also overcomes the disadvantages of hard denoising function and soft denoising function. Simulation result ensures the effectiveness of proposed work.