Differential ghost imaging.
By Fabio Ferri, D. Magatti, L. Lugiato, Alessandra Gatti. Physical Review Letters, 2010
673 citations recorded by the source corpus.
Subfields: Acoustics and Ultrasonics, Artificial Intelligence, Atomic and Molecular Physics, and Optics
View Paper: https://www.semanticscholar.org/paper/4a379dcf8f4b2f62e9a38e63e9c60e8ad769bfd2
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Citations in the corpus
- Single-pixel imaging by means of Fourier spectrum acquisition (2015, background): “Several approaches aiming at increasing the SNR have been proposed, such as differential measurement 6,10,11 , illumination pattern normalization 7,10,11 , frequency-locked measurement 10,11 and so on.”
- Far-field super-resolution ghost imaging with a deep neural network constraint (2022, methodology): “For DGI, the SSIM value of the reconstructed image is linearly increased with the sampling ratio β as the SNR of the reconstructed image is linearly proportional to the number of measurements 39,40 .”
- Deep-learning-based ghost imaging (2017, background): “…been demonstrated that the signal-to-noise ratio (SNR) of the image reconstructed in this way is proportional to the measurement ratio, i.e., the ratio between the number of illumination patterns M and the (average) number of speckle in each of these patterns N spec 9,11 , namely, β = M / N spec .”