并行可见光焦平面压缩成像系统  

Compressive Imaging System Based on Parallel Visible Light Focal Plane

作　　者：欧阳瑶[1] 陈靖[1] 

机构地区：[1]北京理工大学光电学院光电成像技术与系统教育部重点实验室,北京100081

出　　处：《激光与光电子学进展》2017年第2期189-195,共7页Laser & Optoelectronics Progress

基　　金：国家自然科学基金(61271375)

摘　　要：基于压缩感知的理论,设计了一个并行可见光焦平面压缩成像系统,将自然图像进行分块压缩成像。由于选用的是面阵探测器,所以整幅图像的每一个小块图像的采样是同时进行的。成像实验部分,选用0、1二值随机伯努利矩阵作为测量矩阵,重构出了不同的目标图像。实验结果表明,这种分块压缩成像的方式可以减少采样次数,避免由于测量矩阵过大而带来的存储和计算问题,实物系统十分适合高分辨率成像。Based on the compressed sensing theory, a compressive imaging system with parallel visible light focal plane is proposed. The system reconstructs the original image based on block compressed sensing imaging. Due to the use of a panel detector, every small block of the image is sampled at the same time. In the part of the imaging experiment, 0, 1 binary Bernoulli measurement matrices are served as the measurement matrices to reconstruct different target images. Experimental results show that the method of parallel blocked-based compressive imaging system not only decreases the number of sampling, but also aviods a great deal of memory space and calculation because of the excessive measurement matrices. And the proposed imaging system is suitable for high resolution image reconstruction.

关 键 词：成像系统 计算成像 压缩感知 高分辨率成像 

分 类 号：O439[机械工程—光学工程]