{"title":"一种计算动词图像压缩算法","authors":"Songlin Wei, Jianyang Zhou, Tao Yang","doi":"10.1109/ICASID.2010.5551493","DOIUrl":null,"url":null,"abstract":"In this paper, the pixel values of a gray-scale digital image are represented row-wisely, column-wisely and squarely as computational verbs. Eight standard computational verbs are chosen to encode local sequences of pixel values based on computational verb similarities. Compression ratios near 11 : 1 and 21 : 1 are achieved in the examples presented. Genetic algorithm is used to optimize the spatial computational verbs for verb image compression.","PeriodicalId":391931,"journal":{"name":"2010 International Conference on Anti-Counterfeiting, Security and Identification","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A computational verb image compression algorithm\",\"authors\":\"Songlin Wei, Jianyang Zhou, Tao Yang\",\"doi\":\"10.1109/ICASID.2010.5551493\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, the pixel values of a gray-scale digital image are represented row-wisely, column-wisely and squarely as computational verbs. Eight standard computational verbs are chosen to encode local sequences of pixel values based on computational verb similarities. Compression ratios near 11 : 1 and 21 : 1 are achieved in the examples presented. Genetic algorithm is used to optimize the spatial computational verbs for verb image compression.\",\"PeriodicalId\":391931,\"journal\":{\"name\":\"2010 International Conference on Anti-Counterfeiting, Security and Identification\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-07-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Anti-Counterfeiting, Security and Identification\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICASID.2010.5551493\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Anti-Counterfeiting, Security and Identification","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASID.2010.5551493","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper, the pixel values of a gray-scale digital image are represented row-wisely, column-wisely and squarely as computational verbs. Eight standard computational verbs are chosen to encode local sequences of pixel values based on computational verb similarities. Compression ratios near 11 : 1 and 21 : 1 are achieved in the examples presented. Genetic algorithm is used to optimize the spatial computational verbs for verb image compression.
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