{"title":"多小波与Barkel小波和9/7小波在图像压缩中的比较","authors":"Z. Muhsen, D. Alzubaydi, Ayman J. Alnsour","doi":"10.1109/ICSIPA.2009.5478664","DOIUrl":null,"url":null,"abstract":"For best performance in image compression, scalar wavelet requires filters that combine a number of desirable properties, such as orthogonality and symmetry. The Multiwavelet is a complete orthonormal and symmetry. Multiwavelet shows promise in obviating some of the Multiwavelt with orthonormal Barkel wavelet, and 9/7 wavelet in image compression performance on 6 gray scale images. A proposed compression algorithm is used, which include the use of Round function and the Run Length Encoding techniques (RLE). The result is obtained in terms of PSNR, and Bit Rate (BitR). Extensive experimental results demonstrate that Multiwavelet methods exhibit performance high to, or in several cases superior to, the other methods in the proposed algorithm. This matches our expectation based on our results that indicate Multiwavelet have the highest result.","PeriodicalId":400165,"journal":{"name":"2009 IEEE International Conference on Signal and Image Processing Applications","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multiwavelet in comparison with Barkel wavelet and 9/7 wavelet in image compression\",\"authors\":\"Z. Muhsen, D. Alzubaydi, Ayman J. Alnsour\",\"doi\":\"10.1109/ICSIPA.2009.5478664\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For best performance in image compression, scalar wavelet requires filters that combine a number of desirable properties, such as orthogonality and symmetry. The Multiwavelet is a complete orthonormal and symmetry. Multiwavelet shows promise in obviating some of the Multiwavelt with orthonormal Barkel wavelet, and 9/7 wavelet in image compression performance on 6 gray scale images. A proposed compression algorithm is used, which include the use of Round function and the Run Length Encoding techniques (RLE). The result is obtained in terms of PSNR, and Bit Rate (BitR). Extensive experimental results demonstrate that Multiwavelet methods exhibit performance high to, or in several cases superior to, the other methods in the proposed algorithm. This matches our expectation based on our results that indicate Multiwavelet have the highest result.\",\"PeriodicalId\":400165,\"journal\":{\"name\":\"2009 IEEE International Conference on Signal and Image Processing Applications\",\"volume\":\"53 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IEEE International Conference on Signal and Image Processing Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSIPA.2009.5478664\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE International Conference on Signal and Image Processing Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSIPA.2009.5478664","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multiwavelet in comparison with Barkel wavelet and 9/7 wavelet in image compression
For best performance in image compression, scalar wavelet requires filters that combine a number of desirable properties, such as orthogonality and symmetry. The Multiwavelet is a complete orthonormal and symmetry. Multiwavelet shows promise in obviating some of the Multiwavelt with orthonormal Barkel wavelet, and 9/7 wavelet in image compression performance on 6 gray scale images. A proposed compression algorithm is used, which include the use of Round function and the Run Length Encoding techniques (RLE). The result is obtained in terms of PSNR, and Bit Rate (BitR). Extensive experimental results demonstrate that Multiwavelet methods exhibit performance high to, or in several cases superior to, the other methods in the proposed algorithm. This matches our expectation based on our results that indicate Multiwavelet have the highest result.