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Robust Processing of Nonstationary Signals

Igor Djurović, Ljubiša Stanković, Markus Rupp (EURASIPMember), Ling Shao
2010 EURASIP Journal on Advances in Signal Processing  
In particular, it has concentrated on the spectral analysis and filtering of signals corrupted by impulsive distortions using adaptive and nonadaptive robust estimators.  ...  One approach is based on filtering in time domain. Here, the standard median/myriad forms are modified in such a manner to allow negative and complex-valued weights.  ...  Filtering of impulse noise for digital images has been considered in paper "Impulse noise filtering using robust pixelwise S-estimate of variance" (V. Crnojević et al.).  ... 
doi:10.1155/2010/724746 fatcat:szdryrbksja2feukzjadkrnkgy

Survey on Noise Estimation and Removal Methods through SVM

Rakshita Pandya, Kshitij Pathak
2014 International Journal of Computer Applications  
In this paper an introduction of SVM (Support Vector Machine) and various noise estimation and noise removal methods based on support vector machine is presented.  ...  SVM have been discovered as one of the successful classification techniques for many areas and application and it works on different datasets and gives appropriate result.  ...  Second, in presence of impulse noise -Huber robust cost function [29] is discovered.  ... 
doi:10.5120/15014-3297 fatcat:bbuqythkgfeldmxvazqdxosakm

A New Switching-Based Median Filtering Scheme and Algorithm for Removal of High-Density Salt and Pepper Noise in Images

V. Jayaraj, D. Ebenezer
2010 EURASIP Journal on Advances in Signal Processing  
A new switching-based median filtering scheme for restoration of images that are highly corrupted by salt and pepper noise is proposed. An algorithm based on the scheme is developed.  ...  The objective of the scheme and algorithm is the removal of high-density salt and pepper noise in images.  ...  The new scheme employs linear prediction in combination with median filtering. The proposed scheme is based on a new concept of substitution prior to estimation.  ... 
doi:10.1155/2010/690218 fatcat:pjjiad762faijisswzvyncor34

Real-Time Speckle and Impulsive Noise Suppression in 3-D Ultrasound Imaging [chapter]

Francisco J., Jose M., Alberto J., Suren Stolik
2011 Ultrasound Imaging  
It was demonstrated that the robust properties of the RM-estimators exceed the robust properties of the base R-and M-estimators for the impulsive and speckle noise suppression (Gallegos & Ponomaryov,  ...  is the capability and real-time processing features of the robust MM-L (Median M-type L) filters to remove speckle and impulsive noise in 3-D ultrasound images (Gallegos-Funes et al., 2008 , Varela-Benitez  ... 
doi:10.5772/16126 fatcat:b2j4mto2yza6po76tnarjxhikm

Rank M-type Filters for Image Denoising [chapter]

Francisco J., Alberto J.
2009 Image Processing  
properties of the RM-estimators can exceed the robust properties of the base R-and M-estimators.  ...  Rank M-type estimators 2.1 R-estimators The R-estimators are a class of nonparametric robust estimators based on rank calculations (Hampel et al., 1986; Huber, 1981) .  ...  The final section will show how to implement the hardware design based on the SoC or FPGA to accelerate image processing.  ... 
doi:10.5772/7044 fatcat:s7lnrz7yenfgfo7hiuirn2s6xe

Robust B-spline image modeling with application to image processing

M. Karczewicz, M. Gabbouj
1998 IEEE Transactions on Image Processing  
In this correspondence, we present a new approach to two-dimensional (2-D) robust spline image smoothing based on the Mestimator algorithm.  ...  The resulting filter preserves details and suppresses additive Gaussian and impulsive noise efficiently. Index Terms-B-splines, image filtering, image modeling.  ...  In the case of an estimator based on a soft limiter, even a small fraction of impulsive noise may have a large effect on the estimate (they have a small breakdown point).  ... 
doi:10.1109/83.679442 pmid:18276306 fatcat:drlaydwxdfckzjj2a7mf64nxcm

HOS-based image sequence noise removal

M.E. Hassouni, H. Cherifi, D. Aboutajdine
2006 IEEE Transactions on Image Processing  
HOS-Based Image Sequence Noise Removal Mohammed El Hassouni, Hocine Cherifi, and Driss Aboutajdine Abstract-In this paper, a new spatiotemporal filtering scheme is described for noise reduction in video  ...  The cumulant-based algorithm presented here is found to be noise robust for a wide range of noise signals such as impulsive and mixed distributed.  ...  Mohammed El Hassouni, photograph and biography not available at the time of publication. Hocine Cherifi, photograph and biography not available at the time of publication.  ... 
doi:10.1109/tip.2005.863039 pmid:16519344 fatcat:4wb2affeejb5peairr2chkielu

Robust Image Transmission Using Oversampled Filterbanks

P. Duhamel, Michel Kieffer, Jui-Chiu Chiang
2004 Zenodo  
Publication in the conference proceedings of EUSIPCO, Viena, Austria, 2004  ...  Impulse correction scheme The main difficulty with such scheme comes from the fact that if an impulse occurs at time , in subband k, all subbands of the syndrome may be affected from time to time + N V  ...  This syndrome may be used to realize impulse error correction, even in the presence of background Gaussian noise as shown below.  ... 
doi:10.5281/zenodo.38582 fatcat:3t3bg5u6srd2lpek2cscrncepa

Multichannel and Multispectral Image Restoration Employing Fuzzy Theory and Directional Techniques [chapter]

Alberto Rosales, Volodymyr Ponomaryov
2009 Image Processing  
Real-Time analysis was realized on the DSP (TMS320DM642, Texas Instruments) and is based on Reference Framework defined as RF5 (Mullanix & Magdic et al., 2003) .  ...  This filter uses fuzzy and directional robust technics to estimate noise presence in the sample to be processed in a local manner, employing fuzzy rules, the algorithm is capable to be adapted depending  ...  The final section will show how to implement the hardware design based on the SoC or FPGA to accelerate image processing.  ... 
doi:10.5772/7062 fatcat:xyclgwgpiresrhv2n5bem3b5km

Robust video denoising using low rank matrix completion

Hui Ji, Chaoqiang Liu, Zuowei Shen, Yuhong Xu
2010 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition  
The robustness and effectiveness of our proposed denoising algorithm on removing mixed noise, e.g. heavy Gaussian noise mixed with impulsive noise, is validated in the experiments and our proposed approach  ...  In this paper, we present a new patch-based video denoising algorithm capable of removing serious mixed noise from the video data.  ...  In particular, the performance of patch matching will seriously degrade in the presence of serious impulsive noise.  ... 
doi:10.1109/cvpr.2010.5539849 dblp:conf/cvpr/JiLSX10 fatcat:3vpv2q6nk5ajjhmk6grpi4u4ge

Robust Video Restoration by Joint Sparse and Low Rank Matrix Approximation

Hui Ji, Sibin Huang, Zuowei Shen, Yuhong Xu
2011 SIAM Journal of Imaging Sciences  
The efficiency of the proposed video restoration scheme is illustrated on two applications: video denoising in the presence of random-valued noise and video in-painting for archived films.  ...  This paper presents a new video restoration scheme based on the joint sparse and lowrank matrix approximation.  ...  How to remove impulse noise is one important problem in image/video restoration. There are two main types of impulse noise: salt-and-pepper noise and random-valued impulse noise.  ... 
doi:10.1137/100817206 fatcat:imyeep7oqjbylcfdip5f5l33z4

Mathematical Approaches in Advanced Control Theories

Baocang Ding, Lihua Xie, Weihai Zhang, Xianxia Zhang, Qiang Ling, Yugeng Xi
2012 Journal of Applied Mathematics  
Wang focuses on the robust stability of Lotka-Volterra predator-prey system with the fuzzy impulsive control. Y. Zhu and L.  ...  But in this issue it may include model predictive control, sliding mode control, robust control, real-time optimization, and identification and estimation, which are not limited to controller design.  ... 
doi:10.1155/2012/984296 fatcat:xommhyimknf2nekfqcda6r4k6e

MAP entropy estimation: applications in robust image filtering

J. I. de la Rosa, J. Villa-Hernandez, E. de la Rosa M., E. Gonzalez-Ramirez, O. Gutierrez, N. Escalante, R. Ivanov, G. Fleury
2013 Journal of the European Optical Society-Rapid Publications  
We introduce a new approach for image filtering in a Bayesian framework.  ...  The previous idea leads to the construction of Maximum a posteriori (MAP) robust estimators, since the real systems are always exposed to continuous perturbations of unknown nature.  ...  ACKNOWLEDGEMENTS We acknowledge the support for the realization of this work to the Consejo Nacional de Ciencia y Tecnologa (CONACYT), Mexico, through the project CB-2008-01/102041 and the partial support  ... 
doi:10.2971/jeos.2013.13047 fatcat:qzp4lcqtwjc6dfn7vrfv6iguia

Real-time image processing systems using fuzzy and rough sets techniques

Gwanggil Jeon, Marco Anisetti, Ernesto Damiani, Olivier Monga
2018 Soft Computing - A Fusion of Foundations, Methodologies and Applications  
In particular, real-time image processing techniques are used in a number of domains of science, technology, and business.  ...  In this special issue, we focus on how extract valuable information in real time from images which are incomplete, noisy, imprecise, fragmentary, vague, contradictory, deficient, and overloaded, and refine  ...  Acknowledgements We would like to express our appreciation to all the authors for their informative contributions and the reviewers for their support and constructive critiques in making this special issue  ... 
doi:10.1007/s00500-017-2999-3 fatcat:tlq5qkje6rei7cjots7i7qqzqu

SAM 2020 Author Index

2020 2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM)  
SS01.3 DOA Estimation for Coexistence of Circular and Non-Circular Signals Based on Atomic Norm Minimization SS01.2 Robust DOA Estimation for Sources with Known Waveforms in Impulsive Noise Environments  ...  R03.3 An Improved Scheme for High-Resolution Point Cloud Map Generation Based on FMCW Radar Xin, Guo SS12.1 Implementation of Real-time Automotive SAR Imaging Xin, Jingmin SS02.3 Gridless Sparsity-Based  ... 
doi:10.1109/sam48682.2020.9104397 fatcat:cfp5gsikrzabhhcnkalahjkxze
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