摘要
小波变换是新近发展起来的一门技术，已广泛应用于信号处理、图象处理、量子场论、地震勘探、话音识别与合成、音乐 、雷达、CT成相、机器视觉、机械故障诊断与监控以及数字电视等科技领域.又由于它具有时域和频域具有良好的局部化性能，因而在图象压缩编码中得到普遍应用.本文就是在此前提下，对小波变换的原理及离散小波变换算法结构进行了研究，提出小波理论应用于图象处理的基本思路，并通过对三维医学图象有效编码的具体描述，例证了小波变换在图象处理技术中的实用价值。
The wavelet transformation is a new technique which was developed in these years, and it is widely applied in many fields such as signal processing, image processing, the quantum theory, earthquake reconnoiter, voice recognition and synthesis, music, radarCT-image, the vision for machine, diagnose and control for mechanical failure as well as digital television and so on. And because of the good localization performances of both time and frequency field, wavelet transformation gets a common use in image compress coding. In this paper, the basic ideas applied wavelet theory to image processing is proposed by studying principle of wavelet transformation and algorithm structure of dispersed wavelet transformation. And real value of wavelet transformation is to perfect the technique of image processing which was proved by particular description of effective coding to three-dimensional medical image.
出处
《辽宁工程技术大学学报（自然科学版）》
CAS
北大核心
2001年第3期344-347,共4页
Journal of Liaoning Technical University (Natural Science)
