{"title":"一个基于小波的图像压缩编码器的硬件实现","authors":"J. Singh, A. Antoniou, D. Shpak","doi":"10.1109/ADFSP.1998.685718","DOIUrl":null,"url":null,"abstract":"A VLSI architecture designed to perform real-time image compression using wavelets is described. The two basic modules of the architecture are a 2-D wavelet transform generator and a coder based on the SPIHT algorithm for lossy image compression. A folded architecture is proposed for computing the 2-D wavelet transform. The architecture uses 3 parallel computational units and 2 storage units. The hardware for the SPIHT coder uses 2 content addressable memories and 3 random access memories. The designs are modular and can easily be extended for different levels of wavelet decomposition and filter lengths. The derived architecture has been functionally verified for an 8/spl times/8 image size by simulating its VHDL code using Mentor Graphics.","PeriodicalId":424855,"journal":{"name":"1998 IEEE Symposium on Advances in Digital Filtering and Signal Processing. Symposium Proceedings (Cat. No.98EX185)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"24","resultStr":"{\"title\":\"Hardware implementation of a wavelet based image compression coder\",\"authors\":\"J. Singh, A. Antoniou, D. Shpak\",\"doi\":\"10.1109/ADFSP.1998.685718\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A VLSI architecture designed to perform real-time image compression using wavelets is described. The two basic modules of the architecture are a 2-D wavelet transform generator and a coder based on the SPIHT algorithm for lossy image compression. A folded architecture is proposed for computing the 2-D wavelet transform. The architecture uses 3 parallel computational units and 2 storage units. The hardware for the SPIHT coder uses 2 content addressable memories and 3 random access memories. The designs are modular and can easily be extended for different levels of wavelet decomposition and filter lengths. The derived architecture has been functionally verified for an 8/spl times/8 image size by simulating its VHDL code using Mentor Graphics.\",\"PeriodicalId\":424855,\"journal\":{\"name\":\"1998 IEEE Symposium on Advances in Digital Filtering and Signal Processing. Symposium Proceedings (Cat. No.98EX185)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-06-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"24\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1998 IEEE Symposium on Advances in Digital Filtering and Signal Processing. Symposium Proceedings (Cat. No.98EX185)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ADFSP.1998.685718\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1998 IEEE Symposium on Advances in Digital Filtering and Signal Processing. Symposium Proceedings (Cat. No.98EX185)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ADFSP.1998.685718","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Hardware implementation of a wavelet based image compression coder
A VLSI architecture designed to perform real-time image compression using wavelets is described. The two basic modules of the architecture are a 2-D wavelet transform generator and a coder based on the SPIHT algorithm for lossy image compression. A folded architecture is proposed for computing the 2-D wavelet transform. The architecture uses 3 parallel computational units and 2 storage units. The hardware for the SPIHT coder uses 2 content addressable memories and 3 random access memories. The designs are modular and can easily be extended for different levels of wavelet decomposition and filter lengths. The derived architecture has been functionally verified for an 8/spl times/8 image size by simulating its VHDL code using Mentor Graphics.