Results 81 to 90 of about 143,665 (236)

A Comparison of Speckle Reduction Techniques in Medical Ultrasound Imaging

open access: yesApplied Medical Informatics, 2015
Speckle noise is a multiplicative noise that degrades the visual evaluation in ultrasound imaging. In addition, it limits the efficient application of intelligent image processing algorithms, such as segmentation techniques. Thus, speckle noise reduction
Cristina STOLOJESCU-CRISAN
doaj  

Speckle noise in direct-detection lidar systems [PDF]

open access: yes
The speckle noise is evaluated from some typical lidar systems. The governing equations are summarized. The mutual intensity function of the speckle pattern is calculated in terms of the laser radiation modes.
Gardner, C. S., Mecherle, G. S.
core   +1 more source

Intrinsic speckle noise in in-line particle holography due to poly-disperse and continuous particle sizes [PDF]

open access: yes, 2000
In-line particle holography is subject to image deterioration due to intrinsic speckle noise. The resulting reduction in the signal to noise ratio (SNR) of the replayed image can become critical for applications such as holographic particle velocimetry ...
Edwards, PJ, Hobson, PR, Rodgers, GJ
core  

Suppression of Speckle Noise by Speckle Pinning in Adaptive Optics

open access: yesThe Astrophysical Journal, 2002
Optical astronomy is increasingly concerned with the detection of faint companions, which may eventually include planetary systems, close to much brighter primary stars. Detection limits are generally set by "speckle noise," random variations in focal plane intensity that result when atmospheric turbulence redistributes the undesirably copious flux of ...
openaire   +2 more sources

QuaSI: Quantile Sparse Image Prior for Spatio-Temporal Denoising of Retinal OCT Data

open access: yes, 2017
Optical coherence tomography (OCT) enables high-resolution and non-invasive 3D imaging of the human retina but is inherently impaired by speckle noise.
A Ozcan   +12 more
core   +1 more source

AN ADAPTIVE SAR IMAGE DESPECKLING ALGORITHM USING STATIONARY WAVELET TRANSFORM [PDF]

open access: yes, 2020
In this paper, we present a Stationary Wavelet Transform (SWT) based method for the purpose of despeckling the Synthetic Aperture radar (SAR) images by applying a maximum a posteriori probability (MAP) condition to estimate the noise free wavelet ...
DAS1, AMLAN JYOTI   +2 more
core   +1 more source

A New Ultrasound Speckle Reduction Algorithm Based on Superpixel Segmentation and Detail Compensation

open access: yesApplied Sciences, 2019
Speckle is a kind of noise commonly found in ultrasound images (UIs). Although traditional local operation-based methods, such as bilateral filtering, perform well in de-noising normal natural images with suitable parameters, these methods may break ...
Yang Chen   +4 more
doaj   +1 more source

Computational de-noising based on deep learning for phase data in digital holographic interferometry

open access: yesAPL Photonics, 2020
This paper presents a deep-learning-based algorithm dedicated to the processing of speckle noise in phase measurements in digital holographic interferometry.
Silvio Montresor   +3 more
doaj   +1 more source

Registration of Contrast-Enhanced Ultrasound Sequences [PDF]

open access: yes, 2015
The registration of contrast-enhanced ultrasound (CEUS) image sequences is necessary for correct perfusion analysis. Methods developed for CEUS images have to overcome the low signal to noise ratio, speckle noise and pixel intensity changes given by the ...
Šikner, T.
core  

A Comparison Between Lucky Imaging and Speckle Stabilization for Astronomical Imaging [PDF]

open access: yes, 2010
The new technique of Speckle Stabilization has great potential to provide optical imaging data at the highest angular resolutions from the ground. While Speckle Stabilization was initially conceived for integral field spectroscopic analyses, the technique shares many similarities with speckle imaging (specifically shift-and-add and Lucky Imaging ...
arxiv   +1 more source

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