Improving the signal-to-noise ratio of thermal ghost imaging based on positive–negative intensity correlation

2016 ◽  
Vol 366 ◽  
pp. 8-12 ◽  
Author(s):  
Shu-Chun Song ◽  
Ming-Jie Sun ◽  
Ling-An Wu
Keyword(s):  
Signal To Noise Ratio ◽  
Ghost Imaging ◽  
Signal To Noise ◽  
Intensity Correlation ◽  
Noise Ratio

scholarly journals Counterfactual ghost imaging

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Jonte R. Hance ◽  
John Rarity
Keyword(s):  
Signal To Noise Ratio ◽  
Ghost Imaging ◽  
Signal To Noise ◽  
Interesting Phenomenon ◽  
Order Of Magnitude ◽  
Noise Ratio

AbstractWe give a protocol for ghost imaging in a way that is always counterfactual—while imaging an object, no light interacts with that object. This extends the idea of counterfactuality beyond communication, showing how this interesting phenomenon can be leveraged for metrology. Given, in the infinite limit, no photons ever go to the imaged object, it presents a method of imaging even the most light-sensitive of objects without damaging them. Even when not in the infinite limit, it still provides a many-fold improvement in visibility and signal-to-noise ratio over previous protocols, with over an order of magnitude reduction in absorbed intensity.

Effect of turbulence on visibility and signal-to-noise ratio of lensless ghost imaging with thermal light

Optik ◽  
2013 ◽  
Vol 124 (24) ◽  
pp. 6973-6977 ◽  
Author(s):  
Yin-Ping Yao ◽  
Ren-Gang Wan ◽  
Shi-Wei Zhang ◽  
Tong-Yi Zhang
Keyword(s):  
Signal To Noise Ratio ◽  
Ghost Imaging ◽  
Signal To Noise ◽  
Thermal Light ◽  
Noise Ratio

scholarly journals Systematic analysis of signal-to-noise ratio in bipartite ghost imaging with classical and quantum light

2011 ◽  
Vol 83 (6) ◽  
Author(s):  
G. Brida ◽  
M. V. Chekhova ◽  
G. A. Fornaro ◽  
M. Genovese ◽  
E. D. Lopaeva ◽  
...  
Keyword(s):  
Signal To Noise Ratio ◽  
Ghost Imaging ◽  
Signal To Noise ◽  
Systematic Analysis ◽  
Noise Ratio

Determination of the Best Emulsion for the Microscopy of Crystals

1981 ◽  
Vol 39 ◽  
pp. 32-33
Author(s):  
David A. Grano ◽  
Kenneth H. Downing
Keyword(s):  
Spatial Frequency ◽  
Information Transfer ◽  
Signal To Noise Ratio ◽  
Experimental Situation ◽  
Photographic Emulsion ◽  
Modulation Transfer ◽  
Signal To Noise ◽  
Frequency Space ◽  
Noise Ratio

The retrieval of high-resolution information from images of biological crystals depends, in part, on the use of the correct photographic emulsion. We have been investigating the information transfer properties of twelve emulsions with a view toward 1) characterizing the emulsions by a few, measurable quantities, and 2) identifying the “best” emulsion of those we have studied for use in any given experimental situation. Because our interests lie in the examination of crystalline specimens, we've chosen to evaluate an emulsion's signal-to-noise ratio (SNR) as a function of spatial frequency and use this as our critereon for determining the best emulsion.The signal-to-noise ratio in frequency space depends on several factors. First, the signal depends on the speed of the emulsion and its modulation transfer function (MTF). By procedures outlined in, MTF's have been found for all the emulsions tested and can be fit by an analytic expression 1/(1+(S/S0)2). Figure 1 shows the experimental data and fitted curve for an emulsion with a better than average MTF. A single parameter, the spatial frequency at which the transfer falls to 50% (S0), characterizes this curve.

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