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Hybrid algorithm for image denoising of mixed speckle-impulse noise in planar laser-induced fluorescence (PLIF) imaging

文献类型：期刊论文

作者Mirzaei, Mohsen1,2; Wang YJ(王业军)1; Wang Q(汪球)1; Guo, Chenglong4; Li P(李磐)1; Zhao W(赵伟)1,3
刊名OPTICS AND LASERS IN ENGINEERING
出版日期2025-04-01
卷号187
关键词Planar laser-induced fluorescence (PLIF) Image denoising Hybrid algorithm Residue feedback Contrast enchantment
ISSN号0143-8166
DOI10.1016/j.optlaseng.2025.108877
英文摘要Flow visualization is essential for a comprehensive understanding of complex fluid dynamics. Planar laserinduced fluorescence (PLIF) has emerged as one of the most promising techniques for multi-dimensional imaging acquisition, offering high spatial and temporal resolutions. However, PLIF images frequently suffer from impulse and speckle noise under low-density, low-pressure conditions, thereby affecting the quality of visualization. This study proposes a novel hybrid algorithm that integrates order-statistic and non-local means filters with residue feedback. The algorithm enhances image quality and eliminates noise effectively by incorporating recursive processes guided by the structural similarity index (SSIM) and anisotropic diffusion. The efficacy of the method is confirmed through evaluation using peak signal-to-noise ratio (PSNR) and SSIM on images with varying noise levels. The algorithm demonstrates computational efficiency and shows promise for denoising PLIF images.
分类号二类
WOS研究方向Optics
语种英语
WOS记录号WOS:001428232000001
资助机构This work was supported by the National Natural Science Foundation of China (NSFC) (Grant No. 12272386) , the National Key Research & Development Program of China (Grant No. 2023YFF0718701) , and the Strategic Priority Research Program of the Chinese Academy of Sciences (Grant Nos. XDB1050000 and XDB0620201) . Mohsen Mirzaei was also supported by the President's International Fellowship Initiative (PIFI) of the Chinese Academy of Sciences (Grant No. 2023VEB0009) .
其他责任者王业军，汪球
源URL[http://dspace.imech.ac.cn/handle/311007/101446]  
专题力学研究所_高温气体动力学国家重点实验室
力学研究所_国家微重力实验室
作者单位1.Institute of Mechanics, CAS;
2.Vali-e-Asr University of Rafsanjan;
3.University of Chinese Academy of Sciences, CAS;
4.China University of Mining & Technology;
5.Institute of Mechanics, CAS
推荐引用方式
GB/T 7714		 Mirzaei, Mohsen,Wang YJ,Wang Q,et al. Hybrid algorithm for image denoising of mixed speckle-impulse noise in planar laser-induced fluorescence (PLIF) imaging[J]. OPTICS AND LASERS IN ENGINEERING,2025,187.
APA Mirzaei, Mohsen,王业军,汪球,Guo, Chenglong,李磐,&赵伟.(2025).Hybrid algorithm for image denoising of mixed speckle-impulse noise in planar laser-induced fluorescence (PLIF) imaging.OPTICS AND LASERS IN ENGINEERING,187.
MLA Mirzaei, Mohsen,et al."Hybrid algorithm for image denoising of mixed speckle-impulse noise in planar laser-induced fluorescence (PLIF) imaging".OPTICS AND LASERS IN ENGINEERING 187(2025).

入库方式： OAI收割

来源：力学研究所

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