# MATLAB邻域信息优化方法的图像恢复算法研究+滤波去噪算法

MATLAB邻域信息优化方法的图像恢复算法研究+滤波去噪算法 摘  要：图像中的所含的噪声是影响图像信息提取的一个重要因素，但是对于现存的降质的椒盐噪声图像恢复算法在去噪方面还存在的一些问题。本文提出一种改进的基于邻域信息优化方法的滤波去噪算法，它是以邻域信息为基准并运用数据分析及优化理论充分实现了对图像噪声的抑制并保留了图像的精细细节。本文首先介绍了该课题的研究意义、数字图像处理的概念、图像中常见的噪声、常用的去噪滤波器以及MATLAB概述；然后，对改进的去噪滤波算法思想和实现步骤进行了描述，并与其他滤波算法进行比较。实验结果表明，该滤波算法简单有效。

Image Restoration Based on
Neighborhood Information Optimization Method
Abstract：The image contained in the noise image information extraction is an important factor, but the existing degraded salt and pepper noise image recovery algorithm in denoising. This paper presents an improved optimization method based on neighborhood information filtering denoising algorithm, which is based on neighborhood information for the baseline and use of data analysis and optimization theory, the full realization of the suppression of image noise and retain the fine detail of the image. This paper first introduces the significance of the subject, and digital image processing concept, the common noise in the image denoising filters and MATLAB Overview; improved denoising filtering algorithm ideas and implementation steps are described, and and other filtering algorithm. The experimental results show that the filtering algorithm is simple and effective.
Key Words: Neighborhood information; Pepper and salt; Filtering noise to noise reduction algorithm; Image processing; MATLAB

1.绪论 2
1.1 本课题的研究意义 2
1.2 数字图像处理简介 2
1.3 图像噪声 3
1.4 MATLAB概述 4
2.常见滤波器 5
2.1 均值滤波器 5
2.2 中值滤波器 5
2.3 维纳滤波器 6
3.改进的滤波去噪算法 6
3.1算法思想 6
3.2算法的实现步骤 6
4.仿真结果 7
5.总结 9

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