文章基本信息

标题：Iterative Method for Image Compression by Using LSPIA
本地全文：下载
作者：Lijuan Hu ; Yeqing Yi ; Chengzhi Liu 等
期刊名称：IAENG International Journal of Computer Science
印刷版ISSN：1819-656X
电子版ISSN：1819-9224
出版年度：2020
卷号：47
期号：4
语种：English
出版社：IAENG - International Association of Engineers
摘要：In this paper, the curve fitting by cubic B-spline curves is used to compress gray-level images. The fitting tool is the progressive and iterative approximation method for least square fitting (LSPIA), which is used to approximate scanned image data. Different from the existing methods by using piecewise curves, the image data are fitted by a single curve. Hence it can well preserve the relative information between neighborhood pixels. In particular, to reduce the compression ratio, we further exploit some techniques to save storage space. Numerical implements show that the proposed method outperforms the existing methods by using fitting curves.
关键词：image compression;LSPIA;cubic B-spline;Hilbert scan;curve fitting