Results 311 to 320 of about 2,969,604 (339)

Noise Removal With Filtering Techniques

2021
An overview of the image noise models and the de-noising techniques available are presented here. Basically, filtering is one of the de-noising approaches that is normally performed in both spatial and frequency domains. Thus, this chapter focuses on these two approaches.
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Real-time impulse noise removal

Journal of Real-Time Image Processing, 2018
An adaptive interpolation-based impulse noise removal (AIBINR) algorithm is proposed to remove impulse noise from color and gray-scale images in real time. AIBINR works fast and has no need for parameter tuning to remove fixed-valued impulse noise. A GPU application has been developed to demonstrate the speed and inherent parallelization capabilities ...
Alpaslan Gökcen, Cem Kalyoncu
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Noise fingerprint-based infrared fixed pattern noise removal

Applied Optics
Fixed pattern noise (FPN) is a common artifact in digital infrared sensors, caused by inherent manufacturing imperfections, and often leads to severe image quality degradation. In this paper, we propose a novel, to our knowledge, method for FPN removal based on camera noise fingerprints, termed noise fingerprint guided denoising network (NFGD-Net). The
Tingjie Huang, Chunbo Zou, Shubin Liu, Xiaoqiang Lu   +3 more
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Noise suppression by removing singularities

IEEE Transactions on Signal Processing, 2000
A method is proposed for suppressing Gaussian noise by extracting local singularities. The method is based on truncating Riemann series decomposition, whose components naturally characterize different orders of Holder regularity. The approach yields a single-step filtering technique whose performance is comparable to three-step wavelet decomposition ...
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Noise Removal by Nonlinear Synapses

1998
When many synaptic inputs convergence onto a neuron the pooled noise can overwhelm sparse input signals. However, thresholding the inputs can remove noise and signal quality can be maintained. We present here how this mechanism applies to photon detection in the retina.
M. C. W. van Rossum, R. G. Smith
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Fuzzy Transforms in Removing Noise

2006
The technique of fuzzy transform (F-transform for short) has been introduced in [6, 5]. It consists of two phases: direct and inverse. We have proved that the inverse F-transform has good approximation properties and is very simple to use.
Irina Perfilieva, Radek Valášek
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Nonlinear total variation based noise removal algorithms

, 1992
L. Rudin, S. Osher, E. Fatemi
semanticscholar   +1 more source

Noise Removal

2021
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Abdominal fetal EKG noise removal.

Biomedical sciences instrumentation, 1996
Accurate detection of the fetal heart signal (FEKG) early during pregnancy enhances the physician's ability to diagnose possible congenital cardiac defects. However, FEKG acquisition is hampered by excessive noise contamination from the maternal ekg (MEKG) and uterine muscular contraction.A new computerized system was developed to record FEKG and MEKG ...
J, Kwon, R, Shandas
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Seismic interference noise removal

SEG Technical Program Expanded Abstracts 2001, 2001
N. Gülünay, D. Pattberg
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