{"title":"有效实现图像压缩技术的嵌入式可重构阵列结构","authors":"S. Baloch, T. Arslan, A. Stoica","doi":"10.1109/AHS.2006.32","DOIUrl":null,"url":null,"abstract":"The discrete wavelet transform (DWT), as defined by the image compression standard JPEG-2000, is one of the most time-consuming computations which cannot be efficiently executed on current hardware architectures. This paper presents and compares a number of new, different architectures for domain-specific arrays to efficiently implement various DWT algorithms. A number of different algorithms are mapped to demonstrate the flexibility of these new embedded configurable SoC architectures and their ability to support different implementations having different performance characteristics. Our results demonstrate up to 59 percent improvement to the previous work in literature","PeriodicalId":232693,"journal":{"name":"First NASA/ESA Conference on Adaptive Hardware and Systems (AHS'06)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Embedded Reconfigurable Array Fabrics for Efficient Implementation of Image Compression Techniques\",\"authors\":\"S. Baloch, T. Arslan, A. Stoica\",\"doi\":\"10.1109/AHS.2006.32\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The discrete wavelet transform (DWT), as defined by the image compression standard JPEG-2000, is one of the most time-consuming computations which cannot be efficiently executed on current hardware architectures. This paper presents and compares a number of new, different architectures for domain-specific arrays to efficiently implement various DWT algorithms. A number of different algorithms are mapped to demonstrate the flexibility of these new embedded configurable SoC architectures and their ability to support different implementations having different performance characteristics. Our results demonstrate up to 59 percent improvement to the previous work in literature\",\"PeriodicalId\":232693,\"journal\":{\"name\":\"First NASA/ESA Conference on Adaptive Hardware and Systems (AHS'06)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-06-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"First NASA/ESA Conference on Adaptive Hardware and Systems (AHS'06)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AHS.2006.32\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"First NASA/ESA Conference on Adaptive Hardware and Systems (AHS'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AHS.2006.32","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Embedded Reconfigurable Array Fabrics for Efficient Implementation of Image Compression Techniques
The discrete wavelet transform (DWT), as defined by the image compression standard JPEG-2000, is one of the most time-consuming computations which cannot be efficiently executed on current hardware architectures. This paper presents and compares a number of new, different architectures for domain-specific arrays to efficiently implement various DWT algorithms. A number of different algorithms are mapped to demonstrate the flexibility of these new embedded configurable SoC architectures and their ability to support different implementations having different performance characteristics. Our results demonstrate up to 59 percent improvement to the previous work in literature