一种基于小波变换的图像去噪算法

利用小波方法去噪,是小波分析应用于工程实际的一个重要方面。针对图像存在大量噪声的情况,阐述小波变换去除信号噪声的基本原理和方法。在综合考虑图像去噪平滑效果和图像的清晰程度的基础上,提出一种多方向多尺度的自适应小波去噪算法。通过试验数据验证了该算法的可行性和鲁棒性。实验结果表明该方法增强了图像的视觉效果。

An Improved Algorithm of Image Denoising Based on Wavelet Transform

Using wavelet denoising is an important application of wavelet analysis in engineering.This paper analyzes the main noise sources for image,and then presents the basic principles and methods by removal of signal noise wavelet transform.After that,a multi-scale and multi-direction self-adaptive wavelet denoising algorithm is proposed,which is designed after balancing image smoothness and clearness through the experiments of common denoising algorithms.The experiments also confirm that the algorithm is feasible and robust.The experimental results show that the denoising performance enhanced the image of the visual effects.