title: Application of multi-correlation-scale measurement matrices in ghost imaging via sparsity constraints.
abstract: Sampling and reconstruction techniques are of special interest and importance in ghost imaging. Up to now, the transverse correlation scale of measurement matrices are usually constant. This paper explores a new possibility of constructing highly efficient measurement matrices with multi-correlation scales. Comparisons between the simulational and experimental results show that the multi-correlation-scale measurement matrices are highly efficient and accurate in sampling and image reconstruction and have a better antinoise ability than the existing constant-correlation-scale measurement matrices.
authors.forename: Mingliang
authors.initials: M
authors.lastname: Chen
authors.forename: Enrong
authors.initials: E
authors.lastname: Li
authors.forename: Shensheng
authors.initials: S
authors.lastname: Han