利用二次B样条曲线逼近的图像压缩方法  

Image compression using quadratic B-spline curve approximation

作　　者：李军成[1] 

机构地区：[1]湖南人文科技学院数学系,湖南娄底417000

出　　处：《计算机工程与科学》2014年第2期325-330,共6页Computer Engineering & Science

基　　金：湖南省自然科学基金资助项目(13JJ6081);湖南人文科技学院省级重点建设学科"计算机应用技术"资助

摘　　要：提出了一种基于Hilbert扫描和二次B样条曲线逼近的图像压缩方法。首先利用Hilbert扫描曲线将二维数字图像转化为一维的灰度序列;然后采用二次B样条曲线对数据进行分段逼近,同时利用逼近的最大绝对误差小于最大允许误差来确定最终分段;最后对每段数据的逼近参数进行编码。实验结果表明,该方法获得的压缩效果较好,且计算量适中,是一种简单有效的数字图像压缩方法。A method for image compression,based on Hilbert scan and quadratic B-spline curve approximation,is proposed.Firstly,the two-dimensional digital image is converted to one-dimensional grayscale sequence by using Hilbert scanning.Secondly,piecewise quadratic B-spline curves are used to approximate the scanning data,while the condition that the approximate maximum absolute error is less than the maximum allowable error is used to determine the final section.Finally,the approximate parameters of each section are coded.Experimental results show that the proposed method has better compression effect and moderate amount of calculation,which is a simple and effective method for digital image compression.

关 键 词：图像压缩 二次B样条曲线 分段逼近 HILBERT扫描 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]