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Min-Max Average Pooling Based Filter for Impulse Noise Removal
IEEE Signal Processing Letters, 2020Image corruption is a common phenomenon which occurs due to electromagnetic interference, and electric signal instabilities in a system. In this letter, a novel multi procedure Min-Max Average Pooling based Filter is proposed for removal of salt, and ...
Piyush Satti, Nikhil Sharma, Bharat Garg
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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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Two-Stage Convolutional Neural Network for Medical Noise Removal via Image Decomposition
IEEE Transactions on Instrumentation and Measurement, 2020Most of the existing medical image denoising methods focus on estimating either the image or the residual noise. Moreover, they are usually designed for one specific noise with a strong assumption of the noise distribution.
Yi Chang +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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IEEE Internet of Things Journal, 2020
The emergence of the Industrial Internet of Things (IIoT) to enhance manufacturing and industrial processes allows data analysts to address significant problems such as predictive maintenance.
Yuehua Liu +4 more
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The emergence of the Industrial Internet of Things (IIoT) to enhance manufacturing and industrial processes allows data analysts to address significant problems such as predictive maintenance.
Yuehua Liu +4 more
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IEEE Transactions on Image Processing, 2020
Image denoising technologies in a Euclidean domain have achieved good results and are becoming mature. However, in recent years, many real-world applications encountered in computer vision and geometric modeling involve image data defined in irregular ...
Cong Wang +4 more
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Image denoising technologies in a Euclidean domain have achieved good results and are becoming mature. However, in recent years, many real-world applications encountered in computer vision and geometric modeling involve image data defined in irregular ...
Cong Wang +4 more
semanticscholar +1 more source