摘要
针对图像对比度低、成像质量差的问题,提出一种基于小波变换的直方图均衡算法,用于图像对比度增强。首先对图像作直方图均衡,然后通过对小波变换的一级或二级近似系数的非线性增强处理。实验结果证明,处理后的图像细节清晰可辨,边界信息也得到了保留,由此认为小波变换对改善图像的质量是有效的。
In view of image problems of low in contrast gradient and poor in imaging quality, in this article it proposed a histogram equalization algorithm based on wavelet transformation for enhancing the contrast gradient of image. This algorithm firstly equalizes the image with histogram, and then carries out non-linear enhancement processing to first or second order of approximate coefficient of the wavelet transformation. In this article, MatLab and C were adopted in emulation experiment, and the obtained experiment results have proved that the details of the treated image were distinct and easy to distinguish, and the boundary information was saved as well. From this a conclusion can be drawn that the wavelet transformation is effective in improving image＇s quality.
出处
《计算机应用与软件》
CSCD
北大核心
2008年第8期100-103,共4页
Computer Applications and Software
基金
山东省教育厅科技计划项目(J07WJ23)
关键词
图像增强
直方图均衡
小波变换
对比度增强
Image enhancement Histogram equalization Wavelet transformation Contrast enhancement
