{"title":"Simulated annealing and local contrast based anisotropic diffusion method for 1/f noise reduction","authors":"Deng Zhang, J. Ryu, T. Nishimura","doi":"10.1109/ICACIA.2009.5361091","DOIUrl":null,"url":null,"abstract":"Anisotropic diffusion based de-noising methods have been demonstrated for the effectiveness on both noise suppression and edge preservation. However, pulse noise liked spots in the de-noised images and threshold selection are two problems of these methods. This paper presents a simulated annealing and local contrast based anisotropic diffusion method for 1/f noise reduction on the pinned-type complementary metal oxide semiconductor image sensors (CMOS image sensors: CIS). Experimental results reveal that the proposed method is an acceptably good solution to the avoidance of the appearance of the pulse noise liked spots in the de-noised images and the threshold selection.","PeriodicalId":423210,"journal":{"name":"2009 International Conference on Apperceiving Computing and Intelligence Analysis","volume":"129 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Apperceiving Computing and Intelligence Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACIA.2009.5361091","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
Anisotropic diffusion based de-noising methods have been demonstrated for the effectiveness on both noise suppression and edge preservation. However, pulse noise liked spots in the de-noised images and threshold selection are two problems of these methods. This paper presents a simulated annealing and local contrast based anisotropic diffusion method for 1/f noise reduction on the pinned-type complementary metal oxide semiconductor image sensors (CMOS image sensors: CIS). Experimental results reveal that the proposed method is an acceptably good solution to the avoidance of the appearance of the pulse noise liked spots in the de-noised images and the threshold selection.