{"title":"利用小波变换、DPCM和自适应游程编码对图像进行压缩","authors":"Ban N. Thanoon","doi":"10.1109/CISIM.2007.74","DOIUrl":null,"url":null,"abstract":"This research work aims to investigate the performance of a suggested wavelet based image compression system. The scheme of the proposed system utilizes 9/7 biorthogonal wavelet transforms to decompose the image signal, then uses run-length coding, with a little modification, to compress the detail sub-bands. A hierarchal quantization scheme was applied to reduce the number of bits required to encode the wavelet coefficients. The test results indicate that the proposed compression scheme shows good performance aspects in addition to its simplicity.","PeriodicalId":350490,"journal":{"name":"6th International Conference on Computer Information Systems and Industrial Management Applications (CISIM'07)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Using Wavelet Transform, DPCM and Adaptive Run-length Coding to Compress Images\",\"authors\":\"Ban N. Thanoon\",\"doi\":\"10.1109/CISIM.2007.74\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This research work aims to investigate the performance of a suggested wavelet based image compression system. The scheme of the proposed system utilizes 9/7 biorthogonal wavelet transforms to decompose the image signal, then uses run-length coding, with a little modification, to compress the detail sub-bands. A hierarchal quantization scheme was applied to reduce the number of bits required to encode the wavelet coefficients. The test results indicate that the proposed compression scheme shows good performance aspects in addition to its simplicity.\",\"PeriodicalId\":350490,\"journal\":{\"name\":\"6th International Conference on Computer Information Systems and Industrial Management Applications (CISIM'07)\",\"volume\":\"114 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-06-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"6th International Conference on Computer Information Systems and Industrial Management Applications (CISIM'07)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CISIM.2007.74\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"6th International Conference on Computer Information Systems and Industrial Management Applications (CISIM'07)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISIM.2007.74","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Using Wavelet Transform, DPCM and Adaptive Run-length Coding to Compress Images
This research work aims to investigate the performance of a suggested wavelet based image compression system. The scheme of the proposed system utilizes 9/7 biorthogonal wavelet transforms to decompose the image signal, then uses run-length coding, with a little modification, to compress the detail sub-bands. A hierarchal quantization scheme was applied to reduce the number of bits required to encode the wavelet coefficients. The test results indicate that the proposed compression scheme shows good performance aspects in addition to its simplicity.