摘要
小波变换是在傅立叶分析基础上发展起来的,它通过尺度参数和定位参数将时域和频域联系起来,通过伸缩和平移等运动对信号或图像数据进行多尺度的细化分析,其应用领域很广。提出了一种基于小波变换的图像边缘增强的方法,通过对小波变换产生的高低频信息进行相应处理,再进行图像重构,最后将生成的各个图像进行融合以实现图像边缘增强。使用Visual C++6.0完成编程实验,其实验结果表明本文所提出方法的边缘增强效果较好。
The Wavelet Transform was developed from the Fourier Transform. It contacts the time domain and the frequency domain through the scale parameter and the time-shift parameters,and subtly analyses the signal or the picture data by the motion of flex and translation with muhiscale. Its application realm is very Wide. This paper represents a novel algorithm of image edge enhancement based on wavelet transformation. The edge of medical image can be enhanced through the fusion of rebuilt images which are derived from the relatively processed low and high frequency information of Wavelet transform. The programming experiment is accomplished with Visual C ＋ ＋ 6.0 and the results indicate that the method we proposed is quite effective in edge enhancement.
出处
《计算机应用与软件》
CSCD
北大核心
2008年第12期135-137,共3页
Computer Applications and Software
基金
江苏省高校自然科学基础研究项目(07KJD510020)
关键词
小波变换
边缘增强
非线性加权
图像融合
Wavelet transform Edge enhancement Non-linear weighting Image fusion
