Literature DB >> 22446227

The influence of sparsity property of images on ghost imaging with thermal light.

Jin Du1, Wenlin Gong, Shensheng Han.   

Abstract

The influence of sparsity property of images on ghost imaging via sparsity constraints (GISC) is investigated. We find experimentally that the reconstruction quality is in proportion to the sparse ratio of images. Employing the method of representation transform to obtain different sparsity properties for the same object, the effect of three sparse representation bases on the quality of GISC is also discussed.

Year:  2012        PMID: 22446227     DOI: 10.1364/OL.37.001067

Source DB:  PubMed          Journal:  Opt Lett        ISSN: 0146-9592            Impact factor:   3.776


  3 in total

1.  High-resolution far-field ghost imaging via sparsity constraint.

Authors:  Wenlin Gong; Shensheng Han
Journal:  Sci Rep       Date:  2015-03-19       Impact factor: 4.379

2.  Improving the performance of ghost imaging via measurement-driven framework.

Authors:  Hanqiu Kang; Yijun Wang; Ling Zhang; Duan Huang
Journal:  Sci Rep       Date:  2021-03-24       Impact factor: 4.379

3.  Three-dimensional ghost imaging lidar via sparsity constraint.

Authors:  Wenlin Gong; Chengqiang Zhao; Hong Yu; Mingliang Chen; Wendong Xu; Shensheng Han
Journal:  Sci Rep       Date:  2016-05-17       Impact factor: 4.379

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.