摘要
为解决折反射全向成像分辨率低的问题,设计了一种基于编码孔径的折反射全向压缩成像原型系统。在分析点扩展函数和测量矩阵关系的基础上,提出了基于随机点扩展函数的编码孔径设计方式,并通过中继透镜和空间光调制器实现编码孔径的可编程控制。结合折反射成像特点,基于全向全变分算法实现全向图像稀疏重构,得到高分辨率的全向图像。研究搭建了光学成像硬件平台,通过仿真实验和实际装置实验两个方面验证了折反射全向压缩成像技术的有效性和可行性,有效地解决了折反射全向成像分辨率低的问题,对促进其在相关领域的广泛应用具有重要意义。
To solve the problem of low resolution of catadioptric omnidirectional imaging, a system of catadioptric omnidirectional compressive imaging system based on coded aperture is designed. After the analysis of the relationship between point spread function and measurement matrix, the design of coded aperture pattern based on random point spread function is proposed. The coded aperture is programmably controlled with the relay lens and spatial light modulator. The high resolution of omnidirectional image is sparsely reconstructed based on omnidirectional total variation combined the characters of catadioptric imaging. The optic imaging platform is built to verify the effectiveness and practicability of catadioptric omnidirectional compressive imaging through the simulation experiment and actual equipment. The problem of low resolution of catadioptric omnidirectional imaging is solved effectively. The proposed method has important meaning in promoting the applications of catadioptric omnidirectional imaging in related fields.
出处
《光学学报》
EI
CAS
CSCD
北大核心
2016年第4期116-124,共9页
Acta Optica Sinica
基金
国家自然科学基金(61275016)
天津市应用基础与前沿技术研究计划(15JCQNJC01000)
关键词
成像系统
折反射全向成像
压缩感知
编码孔径
随机点扩展函数
imaging systems
catadioptric omnidirectional imaging
compressed sensing
coded aperture
randompoint spread function