并行可见光焦平面压缩成像系统

Compressive Imaging System Based on Parallel Visible Light Focal Plane

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.