噪声图像的复原方法研究和实现

消除图像噪声主要目的是改善图像质量，本文主要阐述了噪声图像的复原方法。首先简单介绍了图像噪声产生的原因和分类，然后介绍了用于图像复原的平均值滤波、中值滤波、自适应维纳滤波和小波变换去噪的工作原理和适用性，为进一步提高图像质量，又提出了基于边缘检测的小波包图像去噪方法。

Research and Realization of Method of Noisy Image Restoration

Elimination of image noise aims to improve image quality. This paper mainly describes restoration methods of noisy image. Firstly, the causes and the classification of the image noise are introduced; secondly, the principle and applicability of mean fihering,median filtering, adaptive wiener filtering and denoising by wavelet morphology are discussed which are used for image restoration. In order to further improve image quality, a method of wavelet package image denoising based on border detection is presented.