文章基本信息

标题：First Order Fuzzy Transform for Images Compression
本地全文：下载
作者：Ferdinando Di Martino ; Salvatore Sessa ; Irina Perfilieva 等
期刊名称：Journal of Signal and Information Processing
印刷版ISSN：2159-4465
电子版ISSN：2159-4481
出版年度：2017
卷号：08
期号：03
页码：178-194
DOI：10.4236/jsip.2017.83012
语种：English
出版社：Scientific Research Publishing
摘要：In this paper, we present a new image compression method based on the direct and inverse F1-transform, a generalization of the concept of fuzzy transform. Under weak compression rates, this method improves the quality of the images with respect to the classical method based on the fuzzy transform.
关键词：Fuzzy Transform;Generalized Fuzzy Partition;Basic Function;Hilbert Space;Image Compression;PSNR