{"title":"压缩和处理图像的有限状态方法","authors":"K. Culík, J. Kari","doi":"10.1109/DCC.1995.515504","DOIUrl":null,"url":null,"abstract":"Weighted finite automata (WFA) is a tool for specifying real functions and in particular grayscale images. The image compression software based on this algorithm is competitive with other methods in compression of typical grayscale images. It performs particularly well for high compression rates, for color images, and compared to other methods it has several additional advantages. This paper mainly deals with image manipulation. Weighted finite transducers (WFT) can be used to specify the widest variety of image transformations (linear operators on grayness functions). The authors briefly introduce WFA and WFT and give some examples of image transformations specified by WFT.","PeriodicalId":107017,"journal":{"name":"Proceedings DCC '95 Data Compression Conference","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Finite state methods for compression and manipulation of images\",\"authors\":\"K. Culík, J. Kari\",\"doi\":\"10.1109/DCC.1995.515504\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Weighted finite automata (WFA) is a tool for specifying real functions and in particular grayscale images. The image compression software based on this algorithm is competitive with other methods in compression of typical grayscale images. It performs particularly well for high compression rates, for color images, and compared to other methods it has several additional advantages. This paper mainly deals with image manipulation. Weighted finite transducers (WFT) can be used to specify the widest variety of image transformations (linear operators on grayness functions). The authors briefly introduce WFA and WFT and give some examples of image transformations specified by WFT.\",\"PeriodicalId\":107017,\"journal\":{\"name\":\"Proceedings DCC '95 Data Compression Conference\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-03-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings DCC '95 Data Compression Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DCC.1995.515504\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings DCC '95 Data Compression Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DCC.1995.515504","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Finite state methods for compression and manipulation of images
Weighted finite automata (WFA) is a tool for specifying real functions and in particular grayscale images. The image compression software based on this algorithm is competitive with other methods in compression of typical grayscale images. It performs particularly well for high compression rates, for color images, and compared to other methods it has several additional advantages. This paper mainly deals with image manipulation. Weighted finite transducers (WFT) can be used to specify the widest variety of image transformations (linear operators on grayness functions). The authors briefly introduce WFA and WFT and give some examples of image transformations specified by WFT.
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