We present a method for single-shot three-dimensional imaging through scattering media with a threedimensional memory effect. In the proposed computational process, a captured speckle image is twodimensionally correlated with different scales, and the object is three-dimensionally recovered with threedimensional phase retrieval. Our method was experimentally demonstrated with a lensless setup and was compared with a multi-shot approach used in our previous work [Y. Okamoto, et al., Opt. Lett. 44, 2526-2529 (2019)].
In this Letter, we present a method for jointly designing a coded aperture and a convolutional neural network for reconstructing an object from a single-shot lensless measurement. The coded aperture and the reconstruction network are connected with a deep learning framework in which the coded aperture is placed as a first convolutional layer. Our co-optimization method was experimentally demonstrated with a fully convolutional network, and its performance was compared to a coded aperture with a modified uniformly redundant array.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.