{"title":"多媒体系统图像压缩中的数据压缩技术","authors":"V. Rajaravivarma, E. Lord, Jon Barker","doi":"10.1109/SOUTHC.1996.535135","DOIUrl":null,"url":null,"abstract":"Currently the digital video interface (DVI), Joint Photographic Experts Group (JPEG), and Motion Pictures Experts Group (MPEG) are the three compression techniques that are widely used. Many of these algorithms employ the discrete cosine transform (DCT) because of its excellent energy compaction to achieve data compression. Even with the amount of intensive computations used with the DCT algorithm, grayscale images still require millions of computations. Extending this to color images or moving images, require billions of computations. Data compression techniques for multimedia systems is a step towards reducing the intensity of computations employing fast transform algorithms.","PeriodicalId":199600,"journal":{"name":"Southcon/96 Conference Record","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Data compression techniques in image compression for multimedia systems\",\"authors\":\"V. Rajaravivarma, E. Lord, Jon Barker\",\"doi\":\"10.1109/SOUTHC.1996.535135\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Currently the digital video interface (DVI), Joint Photographic Experts Group (JPEG), and Motion Pictures Experts Group (MPEG) are the three compression techniques that are widely used. Many of these algorithms employ the discrete cosine transform (DCT) because of its excellent energy compaction to achieve data compression. Even with the amount of intensive computations used with the DCT algorithm, grayscale images still require millions of computations. Extending this to color images or moving images, require billions of computations. Data compression techniques for multimedia systems is a step towards reducing the intensity of computations employing fast transform algorithms.\",\"PeriodicalId\":199600,\"journal\":{\"name\":\"Southcon/96 Conference Record\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-06-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Southcon/96 Conference Record\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SOUTHC.1996.535135\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Southcon/96 Conference Record","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SOUTHC.1996.535135","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Data compression techniques in image compression for multimedia systems
Currently the digital video interface (DVI), Joint Photographic Experts Group (JPEG), and Motion Pictures Experts Group (MPEG) are the three compression techniques that are widely used. Many of these algorithms employ the discrete cosine transform (DCT) because of its excellent energy compaction to achieve data compression. Even with the amount of intensive computations used with the DCT algorithm, grayscale images still require millions of computations. Extending this to color images or moving images, require billions of computations. Data compression techniques for multimedia systems is a step towards reducing the intensity of computations employing fast transform algorithms.
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