Filters








158 Hits in 5.2 sec

Speckle noise reduction method combining total variation and wavelet shrinkage for clinical ultrasound imaging

Banazier A. Abrahim, Yasser Kadah
2011 2011 1st Middle East Conference on Biomedical Engineering  
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

A. Rajamani, V. Krishnaveni
2014 International Journal of Computer Applications  
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

Author V.Radhika, G. Padmavathy
2011 International Journal of Computer Applications  
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

Fabrizio Argenti, Alessandro Lapini, Tiziano Bianchi, Luciano Alparone
2013 IEEE Geoscience and Remote Sensing Magazine  
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

Xuli Zong, A.F. Laine, E.A. Geiser
1998 IEEE Transactions on Medical Imaging  
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

Ahmadreza Baghaie, Zeyun Yu, Roshan M D'Souza
2015 Quantitative Imaging in Medicine and Surgery  
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

Yiheng Cai, Shaobin Hu, Shinan Lang, Yajun Guo, Jiaqi Liu
2020 Applied Sciences  
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

Jason Holloway, Yicheng Wu, Manoj K. Sharma, Oliver Cossairt, Ashok Veeraraghavan
2017 Science Advances  
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

Carlos A. Duarte-Salazar, Andres E. Castro-Ospina, Miguel A. Becerra, Edilson Delgado-Trejos
2020 IEEE Access  
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

Oleg V Michailovich, Allen Tannenbaum
2006 IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control  
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

Yunping Mu, Baoxiang Huang, Zhenkuan Pan, Huan Yang, Guojia Hou, Jinming Duan
2019 IEEE Access  
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

Wensen Feng, Yunjin Chen
2016 Journal of Mathematical Imaging and Vision  
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]

Leonardo Torres, Alejandro C. Frery
2013 arXiv   pre-print
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

O.V. Michailovich, A. Tannenbaum
2006 IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control  
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]

Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli
2020 arXiv   pre-print
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
« Previous Showing results 1 — 15 out of 158 results