Sparse single-pixel imaging via optimization in nonuniform sampling sparsity

Rong Yan, Daoyu Li, Xinrui Zhan, Xuyang Chang, Jun Yan, Pengyu Guo, Liheng Bian*

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

5 引用 (Scopus)

摘要

Reducing the imaging time while maintaining reconstruction accuracy remains challenging for single-pixel imaging. One cost-effective approach is nonuniform sparse sampling. The existing methods lack intuitive and intrinsic analysis in sparsity. The lack impedes our comprehension of the form’s adjustable range and may potentially limit our ability to identify an optimal distribution form within a confined adjustable range, consequently impacting the method’s overall performance. In this Letter, we report a sparse sampling method with a wide adjustable range and define a sparsity metric to guide the selection of sampling forms. Through a comprehensive analysis and discussion, we select a sampling form that yields satisfying accuracy. These works will make up for the existing methods’ lack of sparsity analysis and help adjust methods to accommodate different situations and needs.

源语言英语
页(从-至)6255-6258
页数4
期刊Optics Letters
48
23
DOI
出版状态已出版 - 1 12月 2023

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