基于小波图像编码中的边界延拓方法分析  

Extension Methods for Wavelet Transform Image Coding

作　　者：邱自华[1] 陈宇拓[1] 

机构地区：[1]中南林业科技大学,长沙410004

出　　处：《科学技术与工程》2006年第24期3855-3858,共4页Science Technology and Engineering

摘　　要：当利用小波对二维图像信号进行变换时,会遇到因为图像信号是有限的问题而必须进行边界延拓。分析了各边界延拓方法的利弊和选择方法。给出将高、低频信号组织在一起进行研究的方法,举出几种不论信号长度为奇数还是偶数,都能在系数不扩充的情况下精确重构的例子,并予以证明。A problem will occur when DWT（Discrete Wavelet Transform） is applied to image coding due to the finiteness of image size/data. Deal with the problem by edge extension, the advantage and disadvantage of the methods of extension are described and sevei：al proved examples are gaven in which the finite-length sequences can be perfect reconstructed by saving the output whose number is the same as the number of the input.

关 键 词：小波变换 边界延拓 图像压缩编码 

分 类 号：TN919.81[电子电信—通信与信息系统]