基于MATLAB的数字图像去噪处理

Digital Image Denoising Based on MATLAB

数字图像处理在生活各领域有着广泛的应用,随着社会对图像传递信息的要求越来越高必然使数字图像处理进一步发展,而预处理中的噪声处理是其关键一个环节.图像去噪已形成均值法、中值法、维纳滤波等经典方法,但这些算法在处理噪声时却带来一系列的细节缺失以及因方法繁多导致花费大量时间选取算法去针对特定的噪声,而且不一定能得到理想效果.从实践中分析了均值法、中值法、形态学三种处理噪声的效果,并结合仿真结果调整参数得到更好质量的图像,最终结果表明,形态学处理噪声更具有普遍性和优势.

Digital image processing is widely used in all fields of life, along with the higher requirement of the image transmatting information, it has been further developed and pretreatment of the noise processing is the key section. Classical methods for image denoising include the average method and median filtering, Wiener filtering, but these algorithms in noise processing has brought a series of missing details. And there are so many methods that lead to spending a lot of time selection algorithm to the specific noise, but not necessarily to get the desired effect. In this paper, the effect of the three methods of mean value method, median method and morphological method is analyzed. And combined with simulation results to adjust the parameters can obtain better quality image. The final result, morphological processing noise has more universality and superiority.