基于编码孔径的折反射散焦模糊图像复原

摘要

360度折反射成像系统由于其曲面反射的成像特点,获得的全向图像会不可避免地产生散焦模糊问题,使得全向图像的应用受到限制.针对全向图像成像过程中的散焦模糊问题,首先通过分析折反射系统中入射光线和图像模糊的关系,建立全向图像散焦数学模型;然后利用编码孔径技术估计出图像中各个位置的模糊程度;最后通过反卷积算法复原图像.通过该方法,可以很好地消除全向图像的散焦模糊,获得全聚焦的清晰全向图像.获得的全聚焦全向图像在全向智能视频监控、战场环境全向智能感知以及机器人全向视觉等领域具有较大应用价值.%The defocus blur in catadioptric omni-directional imaging is caused by large apertures and mirror curvatures. This paper proposed a simple method to overcome the drawback. It analyzed the relationship between the blur and the light,constructed the mathmetic modle,estimated the degree of blur by the coded aperture, used specific deconvolution method to get the sharp image. The results of the omni-directional image show good quality and eliminate the defocus blur. The sharp image can be aplied for various catadioptric applications, including omni-directional monitoring systems, intelligent omni-directional systems and robotics.