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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 ...
Hilda, Faraji, W James, MacLean
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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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EEG Ocular Artefacts and Noise Removal
2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2007The general framework of this research is the pre-processing of the electroencephalographic (EEG) signals. The goal of this paper is to compare several combinations of wavelet denoising (WD) and independent component analysis (ICA) algorithms for noise and artefacts removal. These methods are tested on simulated EEG, using different evaluation criteria.
R, Romo-Vazquez +3 more
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SNORE: spike noise removal and detection
IEEE Transactions on Medical Imaging, 1994A method for detection and removal of random spike noise in magnetic resonance (MR) raw data (k-space data) is described. This method would reduce or eliminate the corduroy-type and higher than usual level artifacts in MR images resulting from random spike noise in k-space data. The method described involves applying a spatially varying threshold to be
T F, Foo +3 more
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Adaptive Hyperspectral Mixed Noise Removal
IEEE Transactions on Geoscience and Remote Sensing, 2022This article proposes a new denoising method for hyperspectral images (HSIs) corrupted by mixtures (in a statistical sense) of stripe noise, Gaussian noise, and impulsive noise. The proposed method has three distinctive features: 1) it exploits the intrinsic characteristics of HSIs, namely, low-rank and self-similarity; 2) the observation noise is ...
Tai-Xiang Jiang +4 more
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Multiplicative Noise Removal via a Learned Dictionary
IEEE Transactions on Image Processing, 2012Multiplicative noise removal is a challenging image processing problem, and most existing methods are based on the maximum a posteriori formulation and the logarithmic transformation of multiplicative denoising problems into additive denoising problems. Sparse representations of images have shown to be efficient approaches for image recovery. Following
Huang, Yu-Mei +3 more
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Nonparametric Impulsive Noise Removal
2004In this paper a novel class of filters designed for the removal of impulsive noise in color images is presented. The proposed filter class is based on the nonparametric estimation of the density probability function in a sliding filter window. The obtained results show good noise removal capabilities and excellent structure preserving properties of the
Bogdan Smolka, Rastislav Lukac
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Impulse noise removal: Noise detection versus pixel estimation
2006 IEEE Region 5 Conference, 2006This paper proposes a new finding regarding the different roles and significance of noise detection and pixel estimation utilized in the majority of impulse noise removing algorithms. Extensive experimental results will be presented to show that the importance of each method depends on the noise ratio.
Dung Dang, Wenbin Luo
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Reference noise method of removing powerline noise from recorded signals
Journal of Neuroscience Methods, 2009Powerline contamination of recorded signals represents a major source of noise in electrophysiology and impairs the use of recordings for research. In this article we present simple and effective method for cancelling 50 Hz (or 60 Hz) noise using a reference noise signal and average noise cycle subtraction.
Premysl, Jiruska +5 more
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Noise removal from color images
Journal of Intelligent & Robotic Systems, 1993The noise effects in color images are studied from the human perception and machine perception point of view. Three justifiable observations are made to illustrate problems related to individual color signal processing. To minimize the noise effects, two solutions are studied: One is a ‘rental scheme’ and the other is a vector signal processing ...
J. Zheng, K. P. Valavanis, J. M. Gauch
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