Results 141 to 150 of about 656,594 (178)

Adaptive tight frame based multiplicative noise removal. [PDF]

Springerplus, 2016
Zhou W, Yang S, Zhang C, Fu S.
europepmc   +1 more source

Poisson Noise Removal in Spherical Multichannel Images: Application to Fermi Data

, 2012
Jrmy Schmitt, Jean‐Luc Starck, Jalal Fadili, S. W. Digel   +3 more
openalex   +2 more sources

A Noise Removal Method for Uniform Circular Arrays in Complex Underwater Noise Environments with Low SNR. [PDF]

Sensors (Basel), 2017
Xia H, Yang K, Ma Y, Wang Y, Liu Y.
europepmc   +1 more source

Bilateral Filter with Capability of Impulse Noise Removal

, 2012
Toru Hiraoka, Kiichi Urahama
openalex   +2 more sources

Noise Removal in Dermoscopic Images Using a Novel Software.

Indian Dermatol Online J, 2017
Hegde PR, Shenoy MM, Shekar BH.
europepmc   +1 more source

Evaluating cardiac noise correction approaches for non-invasive electrophysiology of the human spinal cord. [PDF]

Imaging Neurosci (Camb)
Bailey E, Nierula B, Stephani T, Maess B, Nikulin VV, Eippert F.   +5 more
europepmc   +1 more source

CLCFM3: A 3D Reconstruction Algorithm Based on Photogrammetry for High-Precision Whole Plant Sensing Using All-Around Images. [PDF]

Sensors (Basel)
Hayashi A, Kochi N, Kodama K, Isobe S, Tanabata T.   +4 more
europepmc   +1 more source

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Feature-Preserving Noise Removal

IEEE Transactions on Medical Imaging, 2015
Conventional image restoration algorithms use transform-domain filters, which separate the noise from the sparse signal among the transform components or apply spatial smoothing filters in real space whose design relies on prior assumptions about the noise statistics. These filters also reduce the information content of the image by suppressing spatial
Khalid Youssef, Nanette N. Jarenwattananon, Louis-S. Bouchard   +2 more
openaire   +3 more sources

Marginal noise removal of document images

Proceedings of Sixth International Conference on Document Analysis and Recognition, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kuo-Chin Fan, Tsann Ran Lay, Yuan-Kai Wang   +2 more
openaire   +4 more sources

Noise Removal by Nonlinear Synapses [PDF]

, 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.
Richard Smith, M. C. W. van Rossum
openaire   +1 more source