摘要
提出了一种基于小波域边缘检测的图像增强方法,首先对图像高频部分进行边缘检测,然后对边缘单独增强,再经过小波逆变换后得到增强的图像.实验仿真结果表明,该方法优于传统的图像增强方法,不但使图像中较模糊的、对比度差的细节得到增强,而且减少了噪声的影响.
A method of image enhancement based on wavelet edge detection is proposed by combining wavelet transformation and edge detection.Firstly,image edge is detected at the high-frequency part of image.Then enhances edge of image lonely.At last,the enhanced image is reconstructed by inverse wavelet.The experimental results show that this methods is better than traditional enhancement methods,it enhances the fuzzy and poor contrast details,and also to reduce the affection of noise.
出处
《中原工学院学报》
CAS
2010年第3期16-18,共3页
Journal of Zhongyuan University of Technology
基金
河南省教育厅自然科学研究项目(200410465201
200510465002)
关键词
图像增强
小波变换
边缘检测
image enhancement
wavelet transform
edge detection
