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Speckle noise reduction method combining total variation and wavelet shrinkage for clinical ultrasound imaging
2011
2011 1st Middle East Conference on Biomedical Engineering
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In this paper, we propose a new speckle reduction method and coherence enhancement of ultrasound images based on method that combines total variation (TV) method and wavelet shrinkage. ...
In our method, a noisy image is decomposed into subbands of LL, LH, HL, and HH in wavelet domain. ...
CONCLUSIONS In this paper, we propose a speckle reduction method combining the TV method and Wavelet. ...
doi:10.1109/mecbme.2011.5752070
fatcat:xihtkxpljzfw3pfqjamu5tybde
Performance Analysis Survey of Various SAR Image Despeckling Techniques
2014
International Journal of Computer Applications
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This paper presents the various important techniques available till date for the removal of speckle noise from SAR images and each technique with its own advantages and limitations are described. ...
However, these images are affected with granular noise termed as Speckle noise. ...
The use of orthogonal wavelet domain for speckle reduction and enhancement of SAR images and also three methods were suggested [29] as soft thresholding of wavelet coefficients, enhanced adaptive Lee filter ...
doi:10.5120/15584-4254
fatcat:ld7hmft4cbeqje2conp3eroojm
Despeckling of Oil Spill SAR Images using Fusion Technique
2011
International Journal of Computer Applications
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Synthetic aperture radar (SAR) oil spill images are corrupted by speckle noise due to random interference of electromagnetic waves. ...
A New method is proposed for despeckling of SAR oil spill images which combines the frost filter with relaxed median filter. ...
In this paper a fusion method is proposed for despeckling oil spill images which combines frost speckle reduction method and relaxed median filter. ...
doi:10.5120/2474-3328
fatcat:pfaxcyvks5ejrp6u2a4vlampv4
A Tutorial on Speckle Reduction in Synthetic Aperture Radar Images
2013
IEEE Geoscience and Remote Sensing Magazine
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Speckle is a granular disturbance, usually modeled as a multiplicative noise, that affects synthetic aperture radar (SAR) images, as well as all coherent images. ...
Over the last three decades, several methods have been proposed for the reduction of speckle, or despeckling, in SAR images. ...
SRAD is the edge-sensitive diffusion for speckled images, in the same way that conventional anisotropic diffusion is the edge-sensitive diffusion for images corrupted with additive noise. ...
doi:10.1109/mgrs.2013.2277512
fatcat:3d6yuvim2vcf3ddmv2grmvrtgi
Speckle reduction and contrast enhancement of echocardiograms via multiscale nonlinear processing
1998
IEEE Transactions on Medical Imaging
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This paper presents an algorithm for speckle reduction and contrast enhancement of echocardiographic images. ...
Our approach for speckle reduction and contrast enhancement was shown to be less affected by pseudo-Gibbs phenomena. ...
An algorithm based on the maximumlikelihood principle and a wavelet regularization procedure for the logarithm of a radar image was also developed to reduce speckle in [16] . ...
doi:10.1109/42.730398
pmid:9845309
fatcat:pmxrlcaxm5gvnoroqsgz7nnoty
State-of-the-art in retinal optical coherence tomography image analysis
2015
Quantitative Imaging in Medicine and Surgery
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Due to the underlying physics, OCT images suffer from a granular pattern, called speckle noise, which restricts the process of interpretation. ...
This requires specialized noise reduction techniques to eliminate the noise while preserving image details. ...
Noise reduction Speckle is a fundamental property of signals and images acquired by narrow-band detection systems like Synthetic Aperture Radar (SAR), ultrasound and OCT. ...
doi:10.3978/j.issn.2223-4292.2015.07.02
pmid:26435924
pmcid:PMC4559975
fatcat:m35jwvfrlfamrntdfmqqqwp5oi
End-to-End Classification Network for Ice Sheet Subsurface Targets in Radar Imagery
2020
Applied Sciences
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A comprehensive study of the properties of the ice subsurface targets is particularly important for a reliable analysis of their future evolution. ...
Therefore, we propose an efficient end-to-end network for the automatic classification of ice sheet subsurface targets in radar imagery. ...
Image Filtering We compare the noise suppression effects of three different noise reduction methods on radar images: Lee filtering, anisotropic diffusion, and bilateral filtering. ...
doi:10.3390/app10072501
fatcat:qhat3euxgrcz5e4rdelpcg6cc4
SAVI: Synthetic apertures for long-range, subdiffraction-limited visible imaging using Fourier ptychography
2017
Science Advances
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In addition, a novel image space denoising regularization is introduced during phase retrieval to reduce the effects of speckle and improve perceptual quality of the recovered high-resolution image. ...
Synthetic aperture radar is a well-known technique for improving resolution in radio imaging. ...
Here, a straightforward image noise suppression method was used: wavelet decomposition followed by soft-thresholding wavelet components whose magnitudes exceed r (50). ...
doi:10.1126/sciadv.1602564
pmid:28439550
pmcid:PMC5392025
fatcat:v4fzsu3fx5e5xlxt4uiuh5q2sm
Speckle Noise Reduction in Ultrasound Images for Improving the Metrological Evaluation of Biomedical Applications: An Overview
2020
IEEE Access
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INDEX TERMS Diffusion filtering, image pre-processing, metrological evaluation, spatial filtering, speckle noise, ultrasound images, wavelet filtering. ...
This study initially covers several classical methods, such as spatial filtering, diffusion filtering, and wavelet filtering. ...
SAR-BASED METHODS Synthetic Aperture Radar (SAR) is a coherent satellite positioning radar system for image creation that uses the relative movement between the sensor and the target area [48] . ...
doi:10.1109/access.2020.2967178
fatcat:uw2oze6rkjg47gvr6ua6zlublq
Despeckling of medical ultrasound images
2006
IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control
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As a result, speckle noise reduction is an important prerequisite, whenever ultrasound imaging is used for tissue characterization. ...
Among the many methods that have been proposed to perform this task, there exists a class of approaches that use a multiplicative model of speckled image formation and take advantage of the logarithmical ...
Dan Adam from the Technion-Israel Institute of Technology for the ultrasound data kindly provided to them. ...
pmid:16471433
pmcid:PMC3639001
fatcat:5dt6mve4bbb75awvznmkm6f4s4
An enhanced high-order variational model based on speckle noise removal with G0 Distribution
2019
IEEE Access
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ACKNOWLEDGMENT We would like to thank the anonymous reviewers and the editors for their valuable suggestions and constructive comments which improved the quality of this paper. ...
SAR imaging system is based on coherence principle which leads to the speckle noise [3] - [5] . In other words, speckle noise is caused by the fading of radar target echo signal. ...
Consequently, the reduction of speckle noise is a fundamental step in SAR image processing [6] . ...
doi:10.1109/access.2019.2931581
fatcat:6tk36krlsjdehhmlnql5cfepai
Speckle Reduction with Trained Nonlinear Diffusion Filtering
2016
Journal of Mathematical Imaging and Vision
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2017 pre-print arXiv:1702.07482v1 fatcat:fq4dojcnijcq7ij6jwt5b662w4
Speckle reduction is a prerequisite for many image processing tasks in synthetic aperture radar (SAR) images, as well as all coherent images. ...
To this end, we exploit a newly-developed trainable nonlinear reaction diffusion(TNRD) framework which has proven a simple and effective model for various image restoration problems. ...
Introduction Synthetic aperture radar (SAR) images are inevitably corrupted by speckle noise, due to constructive and destructive electromagnetic wave interference during image acquisition. ...
doi:10.1007/s10851-016-0697-x
fatcat:gcplyf2awbhn3bu6rblumfpzb4
SAR Image Despeckling Algorithms using Stochastic Distances and Nonlocal Means
[article]
2013
arXiv
pre-print
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The proposals are compared with the Improved Sigma filter and with anisotropic diffusion for speckled data (SRAD) using a protocol based on Monte Carlo simulation. ...
This paper presents two approaches for filter design based on stochastic distances for intensity speckle reduction. ...
Ç etin and Karl [6] presented a technique for image filtering based on regularized image reconstruction. ...
arXiv:1308.4338v1
fatcat:sojr4dudlvbtpf2tqbsgfm45ra
Despeckling of medical ultrasound images
2006
IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control
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As a result, speckle noise reduction is an important prerequisite, whenever ultrasound imaging is used for tissue characterization. ...
Among the many methods that have been proposed to perform this task, there exists a class of approaches that use a multiplicative model of speckled image formation and take advantage of the logarithmical ...
Dan Adam from the Technion-Israel Institute of Technology for the ultrasound data kindly provided to them. ...
doi:10.1109/tuffc.2006.1588392
fatcat:uio42vguezhp5byos6otcfioia
Speckle2Void: Deep Self-Supervised SAR Despeckling with Blind-Spot Convolutional Neural Networks
[article]
2020
arXiv
pre-print
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Information extraction from synthetic aperture radar (SAR) images is heavily impaired by speckle noise, hence despeckling is a crucial preliminary step in scene analysis algorithms. ...
The proposed method is trained employing only noisy SAR images and can therefore learn features of real SAR images rather than synthetic data. ...
INTRODUCTION Synthetic Aperture Radar (SAR) is a coherent imaging system and as such it strongly suffers from the presence of speckle, a signal dependent granular noise. ...
arXiv:2007.02075v1
fatcat:6nl2pj7cmjb4pkkrae46klnx5q
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