Results 51 to 60 of about 146,877 (332)
Denoising of Wrapped Phase in Digital Speckle Shearography Based on Convolutional Neural Network
Applied SciencesSpeckle-shearing technology is widely used in defect detection due to its high precision and non-contact characteristics. However, the wrapped-phase recording defect information is often accompanied by a lot of speckle noise, which affects the evaluation
Hao Zhang, Dawei Huang, Kaifu Wang
doaj +1 more source
Speckle Temporal Stability in eXtreme Adaptive Optics Coronagraphic Images [PDF]
, 2012 The major noise source limiting high-contrast imaging is due to the presence of quasi-static speckles. Speckle noise originates from wavefront errors caused by various independent sources, and it evolves on different timescales pending to their nature.
arxiv +1 more source
Toward ground-truth optical coherence tomography via three-dimensional unsupervised deep learning processing and data [PDF]
arXiv, 2023 Optical coherence tomography (OCT) can perform non-invasive high-resolution three-dimensional (3D) imaging and has been widely used in biomedical fields, while it is inevitably affected by coherence speckle noise which degrades OCT imaging performance and restricts its applications.
arxiv
Single-shot x-ray speckle-based imaging of a single-material object [PDF]
Phys. Rev. Applied 13, 054023 (2020), 2019 We develop a means for speckle-based phase imaging of the projected thickness of a single-material object, under the assumption of illumination by spatially random time-independent x-ray speckles. These speckles are generated by passing x rays through a suitable spatially random mask.
arxiv +1 more source
DeepLSR: a deep learning approach for laser speckle reduction [PDF]
, 2018 Speckle artifacts degrade image quality in virtually all modalities that utilize coherent energy, including optical coherence tomography, reflectance confocal microscopy, ultrasound, and widefield imaging with laser illumination. We present an adversarial deep learning framework for laser speckle reduction, called DeepLSR (https://durr.jhu.edu/DeepLSR),
arxiv +1 more source
High-contrast Imaging from Space: Speckle Nulling in a Low Aberration Regime
, 2005 High-contrast imaging from space must overcome two major noise sources to successfully detect a terrestrial planet angularly close to its parent star: photon noise from diffracted star light, and speckle noise from star light scattered by instrumentally ...
Krist J. +4 more
core +1 more source
Introducing speckle noise maps for laser vibrometry [PDF]
, 2008 When coherent light scatters from a surface, which is rough on the scale of the wavelength of the light, a speckle pattern is produced. The Laser Vibrometer measures target vibration velocity in the direction of the incident laser beam and typically ...
Peter Martin (306678) +1 more
core +1 more source
Suppression of Speckle Noise in Digital Holography With Spatial and Temporal Domain Depolarization
IEEE Access, 2020 Speckle noise in digital holography has a great influence on image quality, and one of the reasons for the formation of speckle noise is that the degree of coherence for the reference light and the object light is too high and unnecessary noise is ...
Tongyao Du +4 more
doaj +1 more source
Full-field stress analysis by holographic phase-stepping implementation of the photoelastic-coating method [PDF]
, 2012 In this paper, we describe a system for polariscopic and holographic phase-shifting implementation of the photoelastic-coating method for a full-field stress analysis.
Degrieck, Augustijn +5 more
core +2 more sources
Molecular Oncology, EarlyView.Large multidimensional digital images of cancer tissue are becoming prolific, but many challenges exist to automatically extract relevant information from them using computational tools. We describe publicly available resources that have been developed jointly by expert and nonâexpert computational biologists working together during a virtual hackathon
Sandhya Prabhakaran +16 more
wiley +1 more source