Globally optimal frequency-partitioned evolutionary dithering for binary Fourier single-pixel imaging
文献类型:期刊论文
| 作者 | Jiang, Haojia2; Jia, Yiqi2; Wang, Guan2; Cai, Yu2; Deng HX(邓华夏)1,2; Gong, Xinglong2,3 |
| 刊名 | APL PHOTONICS
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| 出版日期 | 2025-08-01 |
| 卷号 | 10期号:8页码:8 |
| ISSN号 | 2378-0967 |
| DOI | 10.1063/5.0276582 |
| 通讯作者 | Wang, Guan(wangguan@ustc.edu.cn) ; Deng, Huaxia(hxdeng@ustc.edu.cn) ; Gong, Xinglong(gongxl@ustc.edu.cn) |
| 英文摘要 | Binary Fourier single-pixel imaging (FSI) accelerates image acquisition by binarizing Fourier basis patterns. However, the use of the conventional Floyd-Steinberg error diffusion kernel introduces substantial quantization errors during binarization. Existing methods reduce quantization errors by employing upsampling prior to dithering but sacrifice spatial resolution. Notably, we observe that quantization errors are highly sensitive to the kernel parameters. To address this, we report a physics-informed global optimization framework that minimizes the L-2-norm discrepancy between the reconstructed and ground-truth Fourier spectrum. By iteratively evolving kernel parameters with a genetic algorithm, this framework yields globally optimized error diffusion kernels specifically tailored for FSI. Specifically, the Fourier basis patterns are partitioned into low-frequency and high-frequency regions, with distinct dithering kernels optimized for each domain. Our frequency-partitioned evolutionary dithering method significantly reduces quantization errors without compromising spatial resolution. Experimental validation demonstrates the method's efficacy: the structural similarity index value of reconstructed images (256 x 256 pixels) improves from 0.628 to 0.895, a 43% enhancement compared to the conventional method. This advancement drives the practical application of FSI in both online and high-quality imaging scenarios. (c) 2025 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International (CC BY-NC-ND) license (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
| 分类号 | 二类/Q1 |
| WOS关键词 | QUALITY ASSESSMENT |
| 资助项目 | National Natural Science Foundation of Chinahttps://doi.org/10.13039/501100001809[12427802] ; National Natural Science Foundation of Chinahttps://doi.org/10.13039/501100001809[12372187] ; National Natural Science Foundation of Chinahttps://doi.org/10.13039/501100001809[12132016] ; National Natural Science Foundation of Chinahttps://doi.org/10.13039/501100001809[52321003] ; National Natural Science Foundation of China[KJ2090007006] ; CAS Talent Introduction[WK2480000010] ; Fundamental Research Funds for the Central Universities[2024M763151] ; China Postdoctoral Science Foundation[GZB20250466] ; Postdoctoral Fellowship Program of CPSF |
| WOS研究方向 | Optics ; Physics |
| 语种 | 英语 |
| WOS记录号 | WOS:001565472300001 |
| 资助机构 | National Natural Science Foundation of Chinahttps://doi.org/10.13039/501100001809 ; National Natural Science Foundation of China ; CAS Talent Introduction ; Fundamental Research Funds for the Central Universities ; China Postdoctoral Science Foundation ; Postdoctoral Fellowship Program of CPSF |
| 其他责任者 | Wang, Guan ; 邓华夏Deng, Huaxia ; Gong, Xinglong |
| 源URL | [http://dspace.imech.ac.cn/handle/311007/103689] ![]() |
| 专题 | 力学研究所_非线性力学国家重点实验室 |
| 作者单位 | 1.Chinese Acad Sci, Inst Mech, State Key Lab Nonlinear Mech, 15 Beishihuan West Rd, Beijing 100190, Peoples R China; 2.Univ Sci & Technol China, Dept Modern Mech, CAS Key Lab Mech Behav & Design Mat, Hefei 230027, Anhui, Peoples R China; 3.Univ Sci & Technol China, State Key Lab Fire Sci, 96 Jinzhai Rd, Hefei 230026, Anhui, Peoples R China |
| 推荐引用方式 GB/T 7714 | Jiang, Haojia,Jia, Yiqi,Wang, Guan,et al. Globally optimal frequency-partitioned evolutionary dithering for binary Fourier single-pixel imaging[J]. APL PHOTONICS,2025,10(8):8. |
| APA | Jiang, Haojia,Jia, Yiqi,Wang, Guan,Cai, Yu,邓华夏,&Gong, Xinglong.(2025).Globally optimal frequency-partitioned evolutionary dithering for binary Fourier single-pixel imaging.APL PHOTONICS,10(8),8. |
| MLA | Jiang, Haojia,et al."Globally optimal frequency-partitioned evolutionary dithering for binary Fourier single-pixel imaging".APL PHOTONICS 10.8(2025):8. |
入库方式: OAI收割
来源:力学研究所
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