Stripe and ring artifact removal with combined wavelet—Fourier filtering

Münch, Beat; Trtik, Pavel; Marone, Federica

doi:10.1364/oe.17.008567

Cited by 552 publications

(440 citation statements)

References 25 publications

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“…Any image defects fixed in position on the CCD appear as lines in the sinogram, and result in the appearance of spurious 'rings' in the reconstruction. Here we applied a CWTbased filter [36] to the sinogram prior to reconstruction step which effectively removes these artefacts. Based on the inverse Radon transform, in the two-step process of filtered back-projection [37], the projections are first filtered to form…”

Section: Imaging Resultsmentioning

confidence: 99%

Tomography of human trabecular bone with a laser-wakefield driven x-ray source

Cole

Wood

Lopes

et al. 2015

Plasma Phys. Control. Fusion

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Abstract. A laser-wakefield driven x-ray source is used for the radiography of human bone. The betatron motion of accelerated electrons generates x-rays which are hard (critical energy E crit > 30 keV), have small source size (< 3µm) and high average brightness. The x-rays are generated from a helium gas cell which is near-instantly replenishable, and thus the average photon flux is limited by the repetition rate of the driving laser rather than the breakdown of the x-ray source. A tomograph of a human bone sample was recorded with a resolution down to 50 µm. The photon flux was sufficiently high that a radiograph could be taken with each laser shot, and the fact that x-ray beams were produced on 97% of shots minimised failed shots and facilitated full micro-computed tomography in a reasonable time scale of several hours, limited only by the laser repetition rate. The x-ray imaging beamline length (not including the laser) is shorter than that of a synchrotron source due to the high accelerating fields and small source size. Hence this interesting laboratory-based source may one day bridge the gap between small microfocus x-ray tubes and large synchrotron facilities.

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Section: Imaging Resultsmentioning

confidence: 99%

Tomography of human trabecular bone with a laser-wakefield driven x-ray source

Cole

Wood

Lopes

et al. 2015

Plasma Phys. Control. Fusion

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“…In addition, the striping level in Fig 1(c) is the highest among the four experimental images. As the comparisons, the statistical-based moment matching (MM) (Gadallah, et al, 2000), (Münch, et al, 2009), and the optimization-based unidirectional total variational model (UTV) (Bouali and Ladjal, 2011) were tested in our experiments. For the convenience of quantitative evaluation, test images were normalized between [0,1].…”

Section: Experiments and Discussionmentioning

confidence: 99%

“…Although with high computational efficiency, the distortion in destriping results is often inevitable when stripes are non-linear or irregular (Shen, et al, 2014). Another class of destriping methods is filteringbased technique (Torres and Infante, 2001;Chen, et al, 2003;Münch, et al, 2009). By well utilizing the transform, the scattered stripe-related information in spatial domain may become concentrated in a particular transform domain, hence the destriping procedure would naturally change into a much simpler way as the truncation of the stripe-related frequency.…”

Section: Introductionmentioning

confidence: 99%

A Novel Removal Method for Dense Stripes in Remote Sensing Images

Liu¹,

Shen²,

Yuan³

et al. 2016

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:In remote sensing images, the common existing stripe noise always severely affects the imaging quality and limits the related subsequent application, especially when it is with high density. To well process the dense striped data and ensure a reliable solution, we construct a statistical property based constraint in our proposed model and use it to control the whole destriping process. The alternating direction method of multipliers (ADMM) is applied in this work to solve and accelerate the model optimization. Experimental results on real data with different kinds of dense stripe noise demonstrate the effectiveness of the proposed method in terms of both qualitative and quantitative perspectives.

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“…Grayscale images with ring artifacts required preprocessing, for which we adopted the combined waveletFourier filtering method [73]. Details of the destripe and denoise procedures can be found in the Supplementary Material (online resource).…”

Section: Data-acquisition Reconstruction and Pre-processingmentioning

confidence: 99%

Quantifying fracture geometry with X-ray tomography: Technique of Iterative Local Thresholding (TILT) for 3D image segmentation

2016

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This paper presents a new method-the Technique of Iterative Local Thresholding (TILT)-for processing 3D X-ray computed tomography (xCT) images for visualization and quantification of rock fractures. The TILT method includes the following advancements. First, custom masks are generated by a fracture-dilation procedure, which significantly amplifies the fracture signal on the intensity histogram used for local thresholding. Second, TILT is particularly well suited for fracture characterization in granular rocks because the multi-scale Hessian fracture (MHF) filter has been incorporated to distinguish fractures from pores in the rock matrix. Third, TILT wraps the thresholding and fracture isolation steps in an optimized iterative routine for binary segmentation, minimizing human intervention and enabling automated processing of large 3D datasets. As an illustrative example, we applied TILT to 3D xCT images of reacted and unreacted fractured limestone cores. Other segmentation methods were also applied to provide insights regarding variability in image processing. The results show that TILT significantly enhanced separability of grayscale intensities, outperformed the other methods in automation, and was successful in isolating fractures from the porous rock matrix. Because the other methods are more likely to misclassify fracture edges as void and/or have limited capacity in distinguishing fractures from pores, those methods estimated larger fracture volumes (up to 80 %), surface areas (up to 60 %), and roughness (up to a factor of 2). These differences in fracture geometry would lead to significant disparities in hydraulic permeability predictions, as determined by 2D flow simulations.

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Stripe and ring artifact removal with combined wavelet—Fourier filtering

Cited by 552 publications

References 25 publications

Tomography of human trabecular bone with a laser-wakefield driven x-ray source

Tomography of human trabecular bone with a laser-wakefield driven x-ray source

A Novel Removal Method for Dense Stripes in Remote Sensing Images

Quantifying fracture geometry with X-ray tomography: Technique of Iterative Local Thresholding (TILT) for 3D image segmentation

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