激光与光电子学进展, 2017, 54 (2): 021102, 网络出版: 2017-02-10
并行可见光焦平面压缩成像系统 下载: 650次
Compressive Imaging System Based on Parallel Visible Light Focal Plane
成像系统 计算成像 压缩感知 高分辨率成像 imaging systems computational imaging compressive sensing high-resolution imaging
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。
Abstract
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.
欧阳瑶, 陈靖. 并行可见光焦平面压缩成像系统[J]. 激光与光电子学进展, 2017, 54(2): 021102. Ouyang Yao, Chen Jing. Compressive Imaging System Based on Parallel Visible Light Focal Plane[J]. Laser & Optoelectronics Progress, 2017, 54(2): 021102.