{"title":"Image coding by using eventually contractive discrete fractal transformations","authors":"J.F.L. de Oliveira, G. Mendonça, R.J. Dias","doi":"10.1109/ITS.1998.718460","DOIUrl":null,"url":null,"abstract":"In the last few years, the discrete fractal transformation has been applied to image coding in order to obtain high compression rates. The coding scheme works by dividing an image into range blocks that are approximated, through a contractive fractal transformation, by low-pass-filtered versions of the domain blocks selected in the image itself. It is reported in Fisher (1994) that using eventually contractive fractal transformations one can improve the compressed image quality. However, no explanation is given to justify this fact. We address this issue by relating this improvement, which can reach 1 dB (PSNR), to the filtering process of the domain blocks.","PeriodicalId":205350,"journal":{"name":"ITS'98 Proceedings. SBT/IEEE International Telecommunications Symposium (Cat. No.98EX202)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ITS'98 Proceedings. SBT/IEEE International Telecommunications Symposium (Cat. No.98EX202)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITS.1998.718460","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In the last few years, the discrete fractal transformation has been applied to image coding in order to obtain high compression rates. The coding scheme works by dividing an image into range blocks that are approximated, through a contractive fractal transformation, by low-pass-filtered versions of the domain blocks selected in the image itself. It is reported in Fisher (1994) that using eventually contractive fractal transformations one can improve the compressed image quality. However, no explanation is given to justify this fact. We address this issue by relating this improvement, which can reach 1 dB (PSNR), to the filtering process of the domain blocks.
近年来,离散分形变换被广泛应用于图像编码中,以获得较高的压缩率。编码方案的工作原理是将图像分成近似的范围块,通过压缩分形变换,通过在图像本身中选择的域块的低通滤波版本。据Fisher(1994)报道,使用最终收缩分形变换可以提高压缩图像的质量。然而,没有给出任何解释来证明这一事实。我们通过将这种改进与域块的滤波过程联系起来来解决这个问题,该改进可以达到1 dB (PSNR)。