{"title":"用于多分辨率分析的离散小波变换的大面积高效VLSI实现","authors":"E. Ramola, J. Manoharan","doi":"10.1109/ICECTECH.2011.5942119","DOIUrl":null,"url":null,"abstract":"Discrete Wavelet Transform (DWT) has become one of the most used techniques for image compression and is applied in a large category of applications for Multi resolution analysis of signals. DWT can provide significant compression ratios without great loss of visual quality than the previous techniques such as the Discrete Cosine Transform (DCT) and the Discrete Fourier Transform (DFT). This work provides a Qualitative analysis between the conventional VLSI implementation techniques as against a fast realization approach discussed in this work. It is expected to provide a reduction in Hardware Complexity and also increase in computational speed with an efficient area optimization.","PeriodicalId":184011,"journal":{"name":"2011 3rd International Conference on Electronics Computer Technology","volume":"65 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"An area efficient VLSI realization of Discrete Wavelet Transform for multiresolution analysis\",\"authors\":\"E. Ramola, J. Manoharan\",\"doi\":\"10.1109/ICECTECH.2011.5942119\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Discrete Wavelet Transform (DWT) has become one of the most used techniques for image compression and is applied in a large category of applications for Multi resolution analysis of signals. DWT can provide significant compression ratios without great loss of visual quality than the previous techniques such as the Discrete Cosine Transform (DCT) and the Discrete Fourier Transform (DFT). This work provides a Qualitative analysis between the conventional VLSI implementation techniques as against a fast realization approach discussed in this work. It is expected to provide a reduction in Hardware Complexity and also increase in computational speed with an efficient area optimization.\",\"PeriodicalId\":184011,\"journal\":{\"name\":\"2011 3rd International Conference on Electronics Computer Technology\",\"volume\":\"65 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-04-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 3rd International Conference on Electronics Computer Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICECTECH.2011.5942119\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 3rd International Conference on Electronics Computer Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECTECH.2011.5942119","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An area efficient VLSI realization of Discrete Wavelet Transform for multiresolution analysis
Discrete Wavelet Transform (DWT) has become one of the most used techniques for image compression and is applied in a large category of applications for Multi resolution analysis of signals. DWT can provide significant compression ratios without great loss of visual quality than the previous techniques such as the Discrete Cosine Transform (DCT) and the Discrete Fourier Transform (DFT). This work provides a Qualitative analysis between the conventional VLSI implementation techniques as against a fast realization approach discussed in this work. It is expected to provide a reduction in Hardware Complexity and also increase in computational speed with an efficient area optimization.