基于FART网络与数据融合的图像增强和恢复

Image Enhancement and Restoration Based on FART Network and Data Fusion

为了有效地进行图像的增强和恢复处理 ,提出了一种基于FuzzyART(FART)网络与数据融合的方法 .利用灰度直方图门限化方法 ,不仅可以自动确定分类数目以进行聚类分析 ,而且可对来自同一景物的多幅带有不同噪声的图像进行处理 .仿真实验表明 ,在数据融合时 。

This paper presents a new kind of image enhancement and restoration based on Fuzzy ART network and data fusion in order to process the images effectually.This approach which uses grayscale histogram threshold can not only automatically determine the number of classes of an image to analyze clusters,but also process the image which comes from the same scene with noises.Simulation experiment demonstrates that FART network can realize the image enhancement and restoration very well.