相对运动所引起的模糊图像的模糊复原算法研究

由于通常所要处理的图像都具有某种不确性，根据先验知识采建立退化模型的反退化处理技术，如滤波，其通用性较差．论文基于模糊算法对由相对运动引起的模糊图像的复原算法进行了研究，阐述了运动模糊图像退化的数学模型．根据数学模型分析其退化的原因，并运用模糊理论知识，提出了对由相对运动引起的模糊图像进行复原的隶属函数，同时与维纳（Wiener）滤波复原算法进行了对比分析．结果表明：模糊复原算法对有噪声的运动模糊图像能基本还原出原来的图像，效果相当理想，为图像复原技术提供了一种新思路．

The research on fuzzy restoration algorithm of blurred images induced by relative motion

Images that will be processed have some kind of indetermination, the counter-degenerated processing technology based on the apriori knowledge, such as filter, is inferior in compatibility. This article is focus on fuzzy restoration algorithm of blurred image that is induced by relative motion. A degradation function model is proposed to analyze the blurred image. According to this function model and combined with the application of fuzzy theory to restoration algorithm, a membership function is put forward to construct a fuzzy restoration algorithm. In contrast with the image restored by Wiener filter restoration algorithm, it turns out that the image restored by this fuzzy restoration algorithm is more satisfied, especially for blurred images with noise. It provides a new kind of idea for image restoration.