{"title":"基于模糊逻辑的激光散斑图像无损压缩","authors":"Donghui Li","doi":"10.1109/ICWAPR.2009.5207433","DOIUrl":null,"url":null,"abstract":"In this paper, we consider the problem of lossless compression of laser speckle images produced in displacement measurement. We propose a lossless compression technique of laser speckle images which is based on speckle displacement estimation, temporal prediction and the Golomb entropy coding. In the proposed coder, the fuzzy-logic-based correlation is used for estimation of speckle displacements. Experimental results show that the proposed coder provides significant improvement in coding efficiency compared with the JPEG_LS coder in compression of laser speckle images.","PeriodicalId":424264,"journal":{"name":"2009 International Conference on Wavelet Analysis and Pattern Recognition","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Lossless compression of laser speckle images by the fuzzy logic\",\"authors\":\"Donghui Li\",\"doi\":\"10.1109/ICWAPR.2009.5207433\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we consider the problem of lossless compression of laser speckle images produced in displacement measurement. We propose a lossless compression technique of laser speckle images which is based on speckle displacement estimation, temporal prediction and the Golomb entropy coding. In the proposed coder, the fuzzy-logic-based correlation is used for estimation of speckle displacements. Experimental results show that the proposed coder provides significant improvement in coding efficiency compared with the JPEG_LS coder in compression of laser speckle images.\",\"PeriodicalId\":424264,\"journal\":{\"name\":\"2009 International Conference on Wavelet Analysis and Pattern Recognition\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-07-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Conference on Wavelet Analysis and Pattern Recognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICWAPR.2009.5207433\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Wavelet Analysis and Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICWAPR.2009.5207433","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Lossless compression of laser speckle images by the fuzzy logic
In this paper, we consider the problem of lossless compression of laser speckle images produced in displacement measurement. We propose a lossless compression technique of laser speckle images which is based on speckle displacement estimation, temporal prediction and the Golomb entropy coding. In the proposed coder, the fuzzy-logic-based correlation is used for estimation of speckle displacements. Experimental results show that the proposed coder provides significant improvement in coding efficiency compared with the JPEG_LS coder in compression of laser speckle images.