Results 31 to 40 of about 678,685 (296)
Improved detection of small atom numbers through image processing [PDF]
, 2010 We demonstrate improved detection of small trapped atomic ensembles through advanced post-processing and optimal analysis of absorption images. A fringe removal algorithm reduces imaging noise to the fundamental photon-shot-noise level and proves ...
A. F. Tauschinsky +6 more
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A nonlinear variational method for signal segmentation and reconstruction using level set algorithm
, 2006 A nonlinear functional is considered in this letter for segmentation and noise removal of piecewise continuous signals containing binary information contaminated with Gaussian noise.
Mahmoodi, Sasan, Sharif, Bayan
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Multiplicative Noise Removal Using Variable Splitting and Constrained Optimization [PDF]
, 2010 Multiplicative noise (also known as speckle noise) models are central to the study of coherent imaging systems, such as synthetic aperture radar and sonar, and ultrasound and laser imaging.
Bioucas-Dias, José M. +1 more
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LinkNet-B7: Noise Removal and Lesion Segmentation in Images of Skin Cancer
Mathematics, 2022 Skin cancer is common nowadays. Early diagnosis of skin cancer is essential to increase patients’ survival rate. In addition to traditional methods, computer-aided diagnosis is used in diagnosis of skin cancer.
Cihan Akyel, Nursal Arıcı
doaj +1 more source
AWGN Removal Using Modified Steering Kernel and Image Matching
Applied Sciences, 2022 Image noise occurs during acquisition and transmission and adversely affects processes, such as image segmentation and object recognition and classification.
Bong-Won Cheon, Nam-Ho Kim
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An Approach to Improve the Quality of Infrared Images of Vein-Patterns
Sensors, 2011 This study develops an approach to improve the quality of infrared (IR) images of vein-patterns, which usually have noise, low contrast, low brightness and small objects of interest, thus requiring preprocessing to improve their quality.
Chih-Lung Lin
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Impulsive noise removal from color images with morphological filtering
, 2017 This paper deals with impulse noise removal from color images. The proposed noise removal algorithm employs a novel approach with morphological filtering for color image denoising; that is, detection of corrupted pixels and removal of the detected noise ...
A Jakhar +12 more
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IEEE AccessEarly detection lowers the death rate and allows for prompt treatment of the exhausted individual with neurodegenerative diseases. Most existing classification studies can either not generate probabilistic predictions or consider uncertainty, or do not ...
Srinivas Katkam +3 more
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Techniques for noise removal from EEG, EOG and air flow signals in sleep patients
, 2004 Noise is present in the wide variety of signals obtained from sleep patients. This noise comes from a number of sources, from presence of extraneous signals to adjustments in signal amplification and shot noise in the circuits used for data collection ...
Abbott, Derek +3 more
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Advanced Denoising for X-ray Ptychography [PDF]
, 2019 The success of ptychographic imaging experiments strongly depends on achieving high signal-to-noise ratio. This is particularly important in nanoscale imaging experiments when diffraction signals are very weak and the experiments are accompanied by ...
Chang, Huibin +9 more
core +4 more sources