{"title":"基于提升方案的lis -无分类小波图像编码算法","authors":"Guowei Tang, G. Gu","doi":"10.1109/IWISA.2009.5072941","DOIUrl":null,"url":null,"abstract":"For most coefficients of wavelet image are zero, SPIHT algorithm which divides the list of insignificant pixels(LIS) into type A and type B and carries out classification judgment to each node in the list leads to the time cost increasing to the encoder. This paper introduces a kind of wavelet base(V9/3) with human vision properties and lifting wavelet transform, cancels the classification procedure of LIS in SPIHT algorithm, merges the modified processing procedure of type B node with that of type A node, encodes the significant coefficients universally in accordance with the sequence of the spatial orientation tree from son generation to grandson generation. The experiment results show that the proposed algorithm improve the speed of encoding effectively while the visual effect of the reconstructed images is kept.","PeriodicalId":6327,"journal":{"name":"2009 International Workshop on Intelligent Systems and Applications","volume":"30 1","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2009-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"LIS-No-Classification Wavelet Image Coding Algorithm Based on Lifting Scheme\",\"authors\":\"Guowei Tang, G. Gu\",\"doi\":\"10.1109/IWISA.2009.5072941\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For most coefficients of wavelet image are zero, SPIHT algorithm which divides the list of insignificant pixels(LIS) into type A and type B and carries out classification judgment to each node in the list leads to the time cost increasing to the encoder. This paper introduces a kind of wavelet base(V9/3) with human vision properties and lifting wavelet transform, cancels the classification procedure of LIS in SPIHT algorithm, merges the modified processing procedure of type B node with that of type A node, encodes the significant coefficients universally in accordance with the sequence of the spatial orientation tree from son generation to grandson generation. The experiment results show that the proposed algorithm improve the speed of encoding effectively while the visual effect of the reconstructed images is kept.\",\"PeriodicalId\":6327,\"journal\":{\"name\":\"2009 International Workshop on Intelligent Systems and Applications\",\"volume\":\"30 1\",\"pages\":\"1-4\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Workshop on Intelligent Systems and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWISA.2009.5072941\",\"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 International Workshop on Intelligent Systems and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWISA.2009.5072941","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
LIS-No-Classification Wavelet Image Coding Algorithm Based on Lifting Scheme
For most coefficients of wavelet image are zero, SPIHT algorithm which divides the list of insignificant pixels(LIS) into type A and type B and carries out classification judgment to each node in the list leads to the time cost increasing to the encoder. This paper introduces a kind of wavelet base(V9/3) with human vision properties and lifting wavelet transform, cancels the classification procedure of LIS in SPIHT algorithm, merges the modified processing procedure of type B node with that of type A node, encodes the significant coefficients universally in accordance with the sequence of the spatial orientation tree from son generation to grandson generation. The experiment results show that the proposed algorithm improve the speed of encoding effectively while the visual effect of the reconstructed images is kept.