Sucking Noise and Collapse After Central Venous Catheter Removal [PDF]
, 2000 Brendan Madden
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Make It Less Complex: Autoencoder for Speckle Noise Removal-Application to Breast and Lung Ultrasound. [PDF]
J Imaging, 2023 Oliveira-Saraiva D +6 more
europepmc +1 more source
A novel fuzzy filter for speckle noise removal
TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES, 2014 In this paper, a novel fuzzy system-based method for speckle noise removal is proposed. The proposed method consists of a fuzzy inference system, an edge detection and dilation unit, and an image combiner. The fuzzy inference system includes 5 inputs and 1 output, and it is responsible for ltering the speckle noisy image. The inputs of the fuzzy system
Soyturk, Mehmet Ali +2 more
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Implicit method for nonlinear complex diffusion with applications to image denoising [PDF]
, 2017 In this paper we focus on the development and implementation of an implicit finite difference method for solving a complex diffusion differential equation with applications to noise filtering in images.
Oliveira, Marlon, Serranho, Pedro
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Measurement and removal of echo integration noise [PDF]
, 2000 Rolf J. Korneliussen
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A spatially variant high-order variational model for Rician noise removal. [PDF]
PeerJ Comput Sci, 2023 Phan TDK.
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Magnetostriction strain measurement: heterodyne laser interferometry versus strain gauge technique [PDF]
, 2013 Deformation of the ferromagnetic material, known as magnetostriction, causes vibrations and noise of electrical machines and transformer cores. A setup by using heterodyne laser interferometers has been built to measure the magnetostriction strains as a
Gorji Ghalamestani, Setareh +3 more
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Removal of impulse noise from highly corrupted images by using noise position information and directional information of image [PDF]
, 2002 Tetsuo Matsumoto, Akira Taguchi
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A Density-Based Multilevel Terrain-Adaptive Noise Removal Method for ICESat-2 Photon-Counting Data. [PDF]
Sensors (Basel), 2023 Wang L +5 more
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Feature-Preserving Medial Axis Noise Removal [PDF]
, 2002 Roger Tam, Wolfgang Heidrich
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