Parallel Compressed Sensing Super-Resolution Imaging via using Multiply Scattering Medium

Recent studies have shown that compressed sensing is capable of recover sparse signals with much few measurements. Meanwhile, it provides a new idea for super resolution imaging. However, previous compressed sensing super resolution imaging methods use digital micro-mirror device or coded aperture as the measurement matrix, which makes the method inefficient. In this paper, we propose a super-resolution method via parallel compressed sensing, the proposed method using scattering medium as the measurement matrix, which we can get enough measurement values at once. Each measurement values contains global information about the object. Experiment simulation results show the effectiveness of the proposed method.