摘要
模糊图像复原是数字图像处理领域的研究热点。运动模糊和散焦模糊是最常见的两种基于光学系统的模糊图像类型。通过实例对比了两种模糊图像的频域特性,并分析了产生频域特性差异的原因,为从频域中提取出几何特征自动实现模糊类型的识别从而更好地实现模糊图像的复原打下了基础。
The restoration of blurred image is a hot research topic in the field of digital image processing. Motion blur and defocus blur are the most common two types of blurred images based on the optical system. Compares frequency domain characteristics of two kinds of blurred image through examples and analyzes the causes of differences between two kinds of frequency domain feature, lay the foundation of better restoration of the blurred images through extracting geometric features from frequency domain to automatically identify the blurred type.
出处
《电脑知识与技术》
2016年第6X期178-179,184,共3页
Computer Knowledge and Technology
基金
2016年度广西高校中青年教师基础能力提升项目(KY2016YB438)
2014年度广西高校科学技术项目(YB2014356)
梧州学院校级一般项目(2013C001)
关键词
运动模糊
散焦模糊
频域特性
motion blur
defocus blur
spectrum property
