{"title":"基于迭代扩展谱减法的白噪声图像复原方法","authors":"Tian-tian Zhou, Yosuke Sugiura, T. Shimamura","doi":"10.1109/ECACE.2017.7912911","DOIUrl":null,"url":null,"abstract":"It is well known that the iterative spectral subtraction (ISS) method is effective to eliminate white noise in speech, the fact that the ISS method is suitable for restoration from image degraded by white noise has been confirmed. In this paper, we presents an image denoising technique in which an iterative extended spectral subtraction (IESS) method is developed. We discuss the factors of the IESS that affect the restoration results, and by setting the best parameters, set out to improve the performance. We compare the performance of the IESS method with that of state of the art filtering approaches in experiments.","PeriodicalId":333370,"journal":{"name":"2017 International Conference on Electrical, Computer and Communication Engineering (ECCE)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Iterative extended spectral subtraction for restoration from image degraded by white noise\",\"authors\":\"Tian-tian Zhou, Yosuke Sugiura, T. Shimamura\",\"doi\":\"10.1109/ECACE.2017.7912911\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It is well known that the iterative spectral subtraction (ISS) method is effective to eliminate white noise in speech, the fact that the ISS method is suitable for restoration from image degraded by white noise has been confirmed. In this paper, we presents an image denoising technique in which an iterative extended spectral subtraction (IESS) method is developed. We discuss the factors of the IESS that affect the restoration results, and by setting the best parameters, set out to improve the performance. We compare the performance of the IESS method with that of state of the art filtering approaches in experiments.\",\"PeriodicalId\":333370,\"journal\":{\"name\":\"2017 International Conference on Electrical, Computer and Communication Engineering (ECCE)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Electrical, Computer and Communication Engineering (ECCE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ECACE.2017.7912911\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Electrical, Computer and Communication Engineering (ECCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECACE.2017.7912911","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Iterative extended spectral subtraction for restoration from image degraded by white noise
It is well known that the iterative spectral subtraction (ISS) method is effective to eliminate white noise in speech, the fact that the ISS method is suitable for restoration from image degraded by white noise has been confirmed. In this paper, we presents an image denoising technique in which an iterative extended spectral subtraction (IESS) method is developed. We discuss the factors of the IESS that affect the restoration results, and by setting the best parameters, set out to improve the performance. We compare the performance of the IESS method with that of state of the art filtering approaches in experiments.
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