{"title":"Signal-dependent film grain noise removal and generation based on higher-order statistics","authors":"J. C. K. Yan, D. Hatzinakos","doi":"10.1109/HOST.1997.613491","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a new noise filtering scheme that is based on higher-order statistics (HOS) for photographic images corrupted by signal-dependent film grain noise. In addition, reliable estimation of the noise parameter using HOS is proposed. This parameter estimation technique can be used to generate film grain noise which has applications in motion picture and television productions. Simulation results show that the proposed filter perform better than existing methods which are based on second-order statistics.","PeriodicalId":305928,"journal":{"name":"Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics","volume":"85 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HOST.1997.613491","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 20
Abstract
In this paper, we propose a new noise filtering scheme that is based on higher-order statistics (HOS) for photographic images corrupted by signal-dependent film grain noise. In addition, reliable estimation of the noise parameter using HOS is proposed. This parameter estimation technique can be used to generate film grain noise which has applications in motion picture and television productions. Simulation results show that the proposed filter perform better than existing methods which are based on second-order statistics.
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