摘要
利用小波变换对图像进行降噪和增强处理,在MATLAB环境下,利用小波的自身特性,降低噪声对图像的影响,尽量保持图像本身的有用细节和边缘信息,保证图像的最佳效果。利用小波变换,采用不同的方法对图像进行仿真,通过对仿真结果进行比较,利用小波分析,图像在不同程度上得到优化,更能适应不同领域人们对图像信息的需求。
This article focuses on the wavelet transform in the application of image denoising and enhancement, in the environment of MATLAB, We can use wavelet's own characteristics to reduce impact of noise, at the same time, to keep the details of the image itself and save the useful information of it's edge for getting the best image. In this issue, we use wavelet transform and many different methods of image simulation are involved. By comparing the simulation results, the image using wavelet analysis has been optimized to some extent, and it can meet the needs of different areas of the image information.
出处
《电脑开发与应用》
2009年第8期20-22,共3页
Computer Development & Applications
基金
河北科技大学博士科研启动基金资助(QD200303)
关键词
小波
图像增强
去噪
wavelet, image intensification, denoising