{"title":"二维离散小波变换的VLSI结构综合","authors":"Jongwoo Bae, V. Prasanna","doi":"10.1109/ASAP.1995.522921","DOIUrl":null,"url":null,"abstract":"We propose VLSI architectures with parallel I/O capability to compute the Two-Dimensional Discrete Wavelet Transform. Our design can handle large images arriving at high frame rates. A video codec based on our architecture can support multiple channels in parallel and can provide the needed performance for network based video applications. Our architecture with parallel I/O offers a solution for the low power needs of mobile/visual communication systems. Our architecture employs block-based I/O and a dual memory buffer to store intermediate results to schedule the filter operations. This leads to a high throughput rate of n pixels per clock cycle and a small memory size of j(l-1)/(N+n)+2n/sup 2/, for an N/spl times/N input image, where n/spl times/n is the block size, l is the alter length, and j is the number of octaves. The resulting architecture has a latency of 2l+n for each octave and a total execution time of N/sup 2//n+2l+n+3jn.","PeriodicalId":354358,"journal":{"name":"Proceedings The International Conference on Application Specific Array Processors","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"22","resultStr":"{\"title\":\"Synthesis of VLSI architectures for two-dimensional discrete wavelet transforms\",\"authors\":\"Jongwoo Bae, V. Prasanna\",\"doi\":\"10.1109/ASAP.1995.522921\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose VLSI architectures with parallel I/O capability to compute the Two-Dimensional Discrete Wavelet Transform. Our design can handle large images arriving at high frame rates. A video codec based on our architecture can support multiple channels in parallel and can provide the needed performance for network based video applications. Our architecture with parallel I/O offers a solution for the low power needs of mobile/visual communication systems. Our architecture employs block-based I/O and a dual memory buffer to store intermediate results to schedule the filter operations. This leads to a high throughput rate of n pixels per clock cycle and a small memory size of j(l-1)/(N+n)+2n/sup 2/, for an N/spl times/N input image, where n/spl times/n is the block size, l is the alter length, and j is the number of octaves. The resulting architecture has a latency of 2l+n for each octave and a total execution time of N/sup 2//n+2l+n+3jn.\",\"PeriodicalId\":354358,\"journal\":{\"name\":\"Proceedings The International Conference on Application Specific Array Processors\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-07-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"22\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings The International Conference on Application Specific Array Processors\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ASAP.1995.522921\",\"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 The International Conference on Application Specific Array Processors","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASAP.1995.522921","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Synthesis of VLSI architectures for two-dimensional discrete wavelet transforms
We propose VLSI architectures with parallel I/O capability to compute the Two-Dimensional Discrete Wavelet Transform. Our design can handle large images arriving at high frame rates. A video codec based on our architecture can support multiple channels in parallel and can provide the needed performance for network based video applications. Our architecture with parallel I/O offers a solution for the low power needs of mobile/visual communication systems. Our architecture employs block-based I/O and a dual memory buffer to store intermediate results to schedule the filter operations. This leads to a high throughput rate of n pixels per clock cycle and a small memory size of j(l-1)/(N+n)+2n/sup 2/, for an N/spl times/N input image, where n/spl times/n is the block size, l is the alter length, and j is the number of octaves. The resulting architecture has a latency of 2l+n for each octave and a total execution time of N/sup 2//n+2l+n+3jn.