In the conventional ghost imaging, it requires to illuminate a large number of patterns in order to reconstruct a good quality image under a low signal-to-noise ratio. We propose a new method so called time division ghost imaging to improve the quality of the image in noisy environment. In this procedure, the total number of patterns in the calculation process of the correlation function are divided into the sub-units with fewer illuminated patterns.
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