{"title":"Lossless compression of color images using an improved integer-based nonlinear wavelet transform","authors":"I. Singh, P. Agathoklis, A. Antoniou","doi":"10.1109/ISCAS.1997.612859","DOIUrl":null,"url":null,"abstract":"New technique for lossless color images is proposed. The technique is based on a new color image transformation using integer arithmetic and an improved integer-based nonlinear discrete wavelet transform. The proposed mapping is compared with the existing RGB (red, green, blue) and YIQ (luminance and chrominance) transformations. The compression technique is illustrated by applying the proposed wavelet-based algorithm on various color images. Comparisons with other techniques are made with respect to compression efficiency (bits per pixel) and computational complexity. The results indicate that the proposed technique leads to higher compression without increasing the computation time.","PeriodicalId":68559,"journal":{"name":"电路与系统学报","volume":"87 12 1","pages":"2609-2612 vol.4"},"PeriodicalIF":0.0000,"publicationDate":"1997-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"电路与系统学报","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.1109/ISCAS.1997.612859","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
New technique for lossless color images is proposed. The technique is based on a new color image transformation using integer arithmetic and an improved integer-based nonlinear discrete wavelet transform. The proposed mapping is compared with the existing RGB (red, green, blue) and YIQ (luminance and chrominance) transformations. The compression technique is illustrated by applying the proposed wavelet-based algorithm on various color images. Comparisons with other techniques are made with respect to compression efficiency (bits per pixel) and computational complexity. The results indicate that the proposed technique leads to higher compression without increasing the computation time.