摘要
折反射全向成像系统中,反射镜曲率和镜头光圈是导致散焦模糊的主要因素,随着高分辨率图像传感器器件和大光圈镜头的采用,散焦模糊造成的图像清晰度问题显得越发突出。提出了一种基于编码孔径的折反射全向成像去散焦模糊技术。理论分析折反射全向成像散焦模糊原因,提出了一种确定最佳聚焦平面的方法,通过采取有效的全向图像环带分割和拼接策略,利用基于图像稀疏先验的反卷积算法对散焦模糊全向图进行复原,得到全局清晰的全向图像。该方法较好地解决了折反射全向成像散焦模糊问题,对提高折反射全向成像质量,促进其在相关领域的广泛应用具有重要意义。
In catadioptric omnidirectional imaging systems, defocus blur is mainly caused by lens aperture and mirror curvature. The problem of image definition caused by defocus blur becomes more severe when high resolution sensors and large apertures are applied. One design of catadioptric omnidirectional imaging system for defocus deblurring, which is based on coded aperture, is proposed. The defocus blur of catadioptric omnidirectional imaging is analyzed in theory, and a method of obtaining optimal focused plane is proposed. With strategies of annuluses division and stitching of omnidirectional images, a deconvolution algorithm based on image sparse prior is used for the defocus blur omnidirectional image restoration to obtain all sharp omnidirectional images. The method is effective for catadioptric omnidirectional image defocus deblurring, which has an important meaning in improving catadioptric omnidirectional imaging quality and promoting applications in related fields.
出处
《光学学报》
EI
CAS
CSCD
北大核心
2013年第5期105-112,共8页
Acta Optica Sinica
基金
国家自然科学基金(61175006
61175015
61275016
61271438)资助课题
关键词
成像系统
折反射全向成像
散焦模糊
最佳聚焦平面
编码孔径
图像复原
imaging systems
catadioptric omnidirectional imaging
defocus blur
optimal focused plane
codedaperture~ image restoration
