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基于边缘特征小波变换的压缩算法关键技术
引用本文:张伟,周昌乐,林坤辉.基于边缘特征小波变换的压缩算法关键技术[J].计算机工程,2005,31(23):177-179,224.
作者姓名:张伟  周昌乐  林坤辉
作者单位:厦门大学计算机与信息工程学院计算机系,厦门,361005
摘    要:探讨了一种新的改进算法中的两个关键技术:基于边缘特征的小波变换方法和边缘曲线的编码方法。利用这两个算法减少了图像重要边缘特征的失真,有利于图像快速浏览和图像基于内容查询的实现;并能改进变换系数中能量的分布使高频子带的图像能量进一步减少,有利于提高压缩性能和效率。同时该文用Matlab6.5平台给出了一些试验结果,并对试验结果进行了分析。

关 键 词:边缘特征  图像压缩  小波变换  边缘编码
文章编号:1000-3428(2005)23-0177-03
收稿时间:2005-03-02
修稿时间:2005-03-02

Key Technoligies of Compress Algorithm with Edge Featuring Wavelet Transform
ZHANG Wei,ZHOU Changle,LIN Kunhui.Key Technoligies of Compress Algorithm with Edge Featuring Wavelet Transform[J].Computer Engineering,2005,31(23):177-179,224.
Authors:ZHANG Wei  ZHOU Changle  LIN Kunhui
Affiliation:Department of Computer Science and Technology, School of Computer and Information Engineering, Xiamen University, Xiamen 361005
Abstract:This paper describes and discusses egde perserving wavelet transform and edge coding. They are two key technologies for new progressive compress algorithm that focus on preserving the clarity of important image features, such as edges. With two technologies capture and encode the location of important edges in the images, new progressive algorithm preserving important edge feature that may be important for recognition and quick browse, even at low bit rates. At the same time, the paper gives experiment result at Matlab6.5 and analyses the result.
Keywords:Edge feature  Image compression  Wavelet transform  Edge coding
本文献已被 CNKI 维普 万方数据 等数据库收录!
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