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Derivative ghost imaging
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AI
DOI：10.3788/COL202220.011101.png)
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Abstract
En 中文
We propose a new experimentally verified ghost imaging (GI) mechanism, derivative GI. Our innovation is that we use the derivatives of the intensities of the test light and the reference light for imaging. Experimental results show that by combining derivative GI with the standard GI algorithm, multiple independent signals can be obtained in one measurement. This combination greatly reduces the number of measurements and the time required for data acquisition and imaging. Derivative GI intrinsically does not produce the storage-consuming background term of GI, so it is suitable for on-chip implementation and makes practical application of GI easier.
Keywords:
ghost imaging
derivative ghost imaging
on-chip ghost imaging
derivative Hanbury Brown and Twiss effect
derivative of intensity