Open AccessClustering-based CLEAN algorithm in ghost imaging with sparse spatial frequencies
Author(s) -
Chang Chen,
Guohua Wu,
Dongyue Yang,
Longfei Yin,
Bin Luo
Publication year - 2021
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.440497
Subject(s) - cluster analysis , computer science , spatial frequency , algorithm , ghost imaging , noise (video) , synthetic aperture radar , image quality , image resolution , optics , spatial light modulator , artificial intelligence , computer vision , image (mathematics) , physics
When insufficient samples in the spatial frequency domain could be effectively compensated by the modified CLEAN algorithm, a novel aperture-synthetic scheme of ghost imaging takes advantage of a superior speed of modulation and an enhancement on the spatial resolution. However, there still exist some imperfections in the modified CLEAN reconstructions, such as the fact that some omitted scatter noise still remains or the object contour may be incomplete. Therefore, we optimize the modified CLEAN algorithm by proposing a density clustering algorithm to overcome these drawbacks and improve the visual quality.