Results 151 to 160 of about 656,594 (178)
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AIP Conference Proceedings, 2006
The relative motion of the LISA spacecraft will Doppler shift the laser frequencies by around 15 MHz. These Doppler shifts introduce sensitivity to the phase noise of the measurement’s master clock. Using the most stable clocks available this effect would degrade the LISA sensitivity by more than a factor of 100. This clock noise can be removed in post‐
Robert D. Peters +4 more
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The relative motion of the LISA spacecraft will Doppler shift the laser frequencies by around 15 MHz. These Doppler shifts introduce sensitivity to the phase noise of the measurement’s master clock. Using the most stable clocks available this effect would degrade the LISA sensitivity by more than a factor of 100. This clock noise can be removed in post‐
Robert D. Peters +4 more
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Predictive removal of scattered noise
GEOPHYSICS, 2006Land seismic data can be severely contaminated with coherent noise. We discuss a deterministic technique to predict and remove scattered coherent noise from land seismic data based on a mathematical model of near-surface wave propagation. We test the method on a unique data set recorded by Petroleum Development of Oman in the Qarn Alam area (with shots
Gérard C. Herman, Colin Perkins
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IEEE Transactions on Image Processing, 2001
A generic n-dimensional filter with the primary purpose of eliminating impulsive-like noise is presented. This recursive nonlinear filter is composed of two conditional rules, which are applied independently, in any order, one after the other. It identifies noisy items by inspection of their surrounding neighborhood, and afterwards it replaces their ...
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A generic n-dimensional filter with the primary purpose of eliminating impulsive-like noise is presented. This recursive nonlinear filter is composed of two conditional rules, which are applied independently, in any order, one after the other. It identifies noisy items by inspection of their surrounding neighborhood, and afterwards it replaces their ...
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Removal of Noise and Artifacts
2011Several types of noise and artifacts affect the quality of images obtained even with imaging systems of the highest quality and under the most carefully designed experimental conditions. As a consequence, the removal of noise and artifacts is an important preprocessing step in the analysis of images; see Rangayyan [6] for detailed discussions on ...
Begoña Acha +2 more
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A NEW NOISE REMOVING ALGORITHM
International Journal of Image and Graphics, 2006In this paper, we propose a new algorithm for removing Gaussian noise from natural images while preserving important details for further processing. Similar patches appear frequently in an image. Our algorithm is based on this high redundancy in natural images.
Wei Guo, Ai-Dong Xu, Dong-Liang Bi
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A Speckle Noise Removal Method
Circuits, Systems, and Signal Processing, 2017During formation of echocardiographic images, speckle noise is introduced, which diminishes important information present in an image and effects physician's capability to interpret image correctly. In the literature, many techniques have been proposed to remove unwanted noise from the image.
Ayesha Saadia, Adnan Rashdi
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A Variational Approach to Removing Multiplicative Noise
SIAM Journal on Applied Mathematics, 2008This paper focuses on the problem of multiplicative noise removal. We draw our inspiration from the modeling of speckle noise. By using a MAP estimator, we can derive a functional whose minimizer corresponds to the denoised image we want to recover. Although the functional is not convex, we prove the existence of a minimizer and we show the capability ...
Aubert, Gilles, Aujol, Jean-François
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CCD noise removal in digital images
IEEE Transactions on Image Processing, 2006In this work, we propose a denoising scheme to restore images degraded by CCD noise. The CCD noise model, measured in the space of incident light values (light space), is a combination of signal-independent and signal-dependent noise terms. This model becomes more complex in image brightness space (normal camera output) due to the nonlinearity of the ...
W.J. MacLean, H. Faraji
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A Nonconvex Model to Remove Multiplicative Noise [PDF]
, 2007 This paper deals with the denoising of SAR images. We draw our inspiration from the modeling of multiplicative speckle noise. By using a MAP estimator, we propose a functional whose minimizer corresponds to the denoised image we want to recover. Although the functional is not convex, we prove the existence of a minimizer.
Aubert, Gilles, Aujol, Jean-François
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Noise suppression by removing singularities
IEEE Transactions on Signal Processing, 2000A method is proposed for suppressing Gaussian noise by extracting local singularities. The method is based on truncating Riemann series decomposition, whose components naturally characterize different orders of Holder regularity. The approach yields a single-step filtering technique whose performance is comparable to three-step wavelet decomposition ...
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