Filter for speckle noise reduction based on compressive sensing

Leportier, Thibault; Park, Min-Chul

doi:10.1117/1.oe.55.12.121724

Cited by 12 publications

(7 citation statements)

References 36 publications

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“…In this study, we used four metrics to evaluate the image quality, including contrast‐to‐noise ratio (CNR), equivalent numbers of looks (ENL), signal‐to‐noise ratio (SNR) and local contrast (LC) [29, 38, 39]. They are defined as follows:

CNR goodbreak= 20 goodbreak\times \log_{10} \frac{μ_{o} - μ_{b}}{σ_{b}}

ENL goodbreak= {μ_{b}}^{2} / {σ_{b}}^{2}

SNR goodbreak= 20 goodbreak\times \log_{10} \frac{μ_{o}}{σ_{b}}

LC goodbreak= μ_{o} / μ_{b}

where μ o is the mean gray value of the vessel area, μ b is the mean gray value of the background area, σ b is the standard deviation of the background's gray value, CNR and LC reflect the contrast of blood vessels in the image (the degree of visualization of blood vessels), ENL can measure the smoothness of a uniform area, which is used to reflect the smoothness of the background and SNR is used to measure the denoising effect.…”

Section: Methodsmentioning

confidence: 99%

“…In this study, we used four metrics to evaluate the image quality, including contrast-to-noise ratio (CNR), equivalent numbers of looks (ENL), signal-to-noise ratio (SNR) and local contrast (LC) [29,38,39]. They are defined as follows:…”

Section: Evaluation Metricsmentioning

confidence: 99%

“…For example, Xu et al proposed modified CS-based averaging method to increase the image quality [39]. Later, Leportier et al used a combination of CS with other filters to reduce noise [29]. Luo et al demonstrated that five times CS averaging method offers an image quality and depth resolution similar to those obtained using the conventional averaging method [34].…”

Section: Introductionmentioning

confidence: 99%

“…Liu et al utilized gamma transformation to enhance the image and then used combined collaborative filter and shock filter to smooth and sharpen the image [28]. Although digital filters achieve good results in image denoising, they face the challenge of preserving edges while reducing the noise [29].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Compressive‐sensing swept‐source optical coherence tomography angiography with reduced noise

Wang

Chen

Zhu

et al. 2022

Journal of Biophotonics

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Optical coherence tomography angiography (OCTA), as a functional extension of optical coherence tomography (OCT), has exhibited a great potential to aid in clinical diagnostics. Currently, OCTA still suffers from motion artifact and noise. Therefore, in this article, we propose to implement compressive sensing (CS) on B‐scans to reduce motion artifact by increasing B‐scan rate. Meanwhile, a noise reduction filter is specially designed by combining CS, Gaussian filter and median filter. Specially, CS filtering is realized by averaging multiple CS repetitions on en‐face OCTA images with varied sampling functions. The method is evaluated on in vivo OCTA images of human skin. The results show that vasculature structures can be reconstructed well through CS on B‐scans with a sampling rate of 70%. Moreover, the noise can be significantly eliminated by the developed filter. This implies that our method has a good potential to expedite OCTA imaging and improve the image quality.

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CNR goodbreak= 20 goodbreak\times \log_{10} \frac{μ_{o} - μ_{b}}{σ_{b}}

ENL goodbreak= {μ_{b}}^{2} / {σ_{b}}^{2}

SNR goodbreak= 20 goodbreak\times \log_{10} \frac{μ_{o}}{σ_{b}}

LC goodbreak= μ_{o} / μ_{b}

Section: Methodsmentioning

confidence: 99%

Section: Evaluation Metricsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Compressive‐sensing swept‐source optical coherence tomography angiography with reduced noise

Wang

Chen

Zhu

et al. 2022

Journal of Biophotonics

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show abstract

“…Each sub-hologram was reconstructed individually, and the speckle-reduced image can be obtained by averaging them. In 2016, Leportier et al [112] reconstructed an image downsampled randomly by application of the compressive sensing algorithm. By repeating this procedure several times with different random downsamplings, the multiple reconstructed images with different speckle were averaged.…”

Section: Coherent Noise Suppressionmentioning

confidence: 99%

Recent Progress on Aberration Compensation and Coherent Noise Suppression in Digital Holography

Liu

Wang

2018

Applied Sciences

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Digital holographic microscopy (DHM) is a topographic measurement technique that permits full-field, nondestructive, dynamic, quantitative amplitude, and phase-contrast imaging. The technique may realize the lateral resolution with submicron scale and the longitudinal resolution with subnanometer scale, respectively. Improving imaging quality has always been the research focus in DHM since it has a direct effect on the precise topographic measurement. In this paper, the recent progress on phase aberration compensation and coherent noise suppression is reviewed. Included in this review are the hologram spectrum's centering judgment methods of side band in tilt phase error compensation, the physical and numerical compensation methods in phase aberration compensation, and the single-shot digital process methods in coherent noise suppression. The summaries and analyses for these approaches can contribute to improving the imaging quality and reducing the measurement error of DHM, which will further promote the wider applications of DHM in the topographic measurement fields, such as biology and micro-electro mechanical systems.

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Nonlinear anisotropic diffusion methods for image denoising problems: Challenges and future research opportunities

Maiseli

2023

Array

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Filter for speckle noise reduction based on compressive sensing

Cited by 12 publications

References 36 publications

Compressive‐sensing swept‐source optical coherence tomography angiography with reduced noise

Compressive‐sensing swept‐source optical coherence tomography angiography with reduced noise

Recent Progress on Aberration Compensation and Coherent Noise Suppression in Digital Holography

Nonlinear anisotropic diffusion methods for image denoising problems: Challenges and future research opportunities

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