Low-rank constraint improves image quality of ghost imaging, for both correlation and compressive sensing approaches. Image by correlation plus low-rank constraint can even surpass that by compressive sensing when under-sampling. Optimized low-rank parameter is presented.

© 2018 The Author(s)

PDF Article
More Like This
Low-rank Reconstruction for Multimode Fiber Imaging

Min Hao, Dongyue Yang, Bin Luo, Longfei Yin, and Guohua Wu
C3H_2 Conference on Lasers and Electro-Optics/Pacific Rim (CLEOPR) 2020

Binarization threshold optimization of ghost imaging

Dongyue Yang, Junhui Li, Guohua Wu, Bin Luo, Longfei Yin, and Hong Guo
CTh4A.1 Computational Optical Sensing and Imaging (COSI) 2018

Circulated Modulation Enhancement of Ghost Imaging based on Group-based Sparse Representation

Dongyue Yang, Guohua Wu, Chen Chang, Bin Luo, and Longfei Yin
FW5A.5 Frontiers in Optics (FiO) 2020


You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
Login to access Optica Member Subscription