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Some of the next articles are maybe not open access.

Signal-to-Noise Ratio in Maximum Entropy Images

1987
DE SIMONE, Bruna Clara   +2 more
openaire   +1 more source

Signal-to-Noise Ratio Estimation in Passive Correlation-Based Imaging [PDF]

open access: yesSIAM Journal on Imaging Sciences, 2013
We consider imaging with passive arrays of sensors using as illumination ambient noise sources. The first step for imaging under such circumstances is the computation of the cross correlations of the recorded signals, which have attracted a lot of attention recently because of their numerous applications in seismic imaging, volcano monitoring, and ...
Josselin Garnier, Chrysoula Tsogka
exaly   +7 more sources

Signal-to-noise ratio of Gaussian-state ghost imaging [PDF]

open access: yesPhysical Review A, 2009
The signal-to-noise ratios (SNRs) of three Gaussian-state ghost imaging configurations--distinguished by the nature of their light sources--are derived. Two use classical-state light, specifically a joint signal-reference field state that has either the maximum phase-insensitive or the maximum phase-sensitive cross correlation consistent with having a ...
Erkmen, Baris I., Shapiro, Jeffrey H.
openaire   +4 more sources

Signal to Noise Ratio Analysis in Virtual Source Array Imaging [PDF]

open access: yesSIAM Journal on Imaging Sciences, 2015
We consider correlation-based imaging of a reflector located on one side of a passive array where the medium is homogeneous.
Garnier, Josselin   +3 more
openaire   +4 more sources

Improvement of the signal to noise ratio for fluorescent imaging in microfluidic chips

open access: yesScientific Reports, 2022
Microfluidics systems can be fabricated in various ways using original silicon glass systems, with easy Si processing and surface modifications for subsequent applications such as cell seeding and their study.
Xiaocheng Liu   +4 more
doaj   +4 more sources

Measuring the signal-to-noise ratio in magnetic resonance imaging: a caveat

open access: yesSignal Processing, 2004
The validity of the signal-to-noise ratio (SNR) as an objective quality measure for biomedical images has been the subject of a long-standing debate. Nevertheless, the SNR is the most popularly used measure both for assessing the quality of images and for evaluating the effectiveness of image enhancement and signal processing techniques.
José C Príncipe
exaly   +3 more sources

Signal-to-noise ratio and signal-to-noise efficiency in SMASH imaging [PDF]

open access: yesMagnetic Resonance in Medicine, 1999
A general theory of signal-to-noise ratio (SNR) in simultaneous acquisition of spatial harmonics (SMASH) imaging is presented, and the predictions of the theory are verified in imaging experiments and in numerical simulations. In a SMASH image, multiple lines of k-space are generated simultaneously through combinations of magnetic resonance signals in ...
D K, Sodickson   +4 more
openaire   +3 more sources

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