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

IF 3.5 2区工程技术 Q2 OPTICS

Optics and Lasers in Engineering Pub Date : 2025-02-14 DOI:10.1016/j.optlaseng.2025.108877

Mohsen Mirzaei , Yejun Wang , Qiu Wang , Chenglong Guo , Pan Li , Wei Zhao

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引用次数: 0

Abstract

Flow visualization is essential for a comprehensive understanding of complex fluid dynamics. Planar laser-induced 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.

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来源期刊

Optics and Lasers in Engineering 工程技术-光学

CiteScore

8.90

自引率

8.70%

发文量

384

审稿时长

42 days

期刊介绍： Optics and Lasers in Engineering aims at providing an international forum for the interchange of information on the development of optical techniques and laser technology in engineering. Emphasis is placed on contributions targeted at the practical use of methods and devices, the development and enhancement of solutions and new theoretical concepts for experimental methods. Optics and Lasers in Engineering reflects the main areas in which optical methods are being used and developed for an engineering environment. Manuscripts should offer clear evidence of novelty and significance. Papers focusing on parameter optimization or computational issues are not suitable. Similarly, papers focussed on an application rather than the optical method fall outside the journal''s scope. The scope of the journal is defined to include the following: -Optical Metrology- Optical Methods for 3D visualization and virtual engineering- Optical Techniques for Microsystems- Imaging, Microscopy and Adaptive Optics- Computational Imaging- Laser methods in manufacturing- Integrated optical and photonic sensors- Optics and Photonics in Life Science- Hyperspectral and spectroscopic methods- Infrared and Terahertz techniques