Abstract
Ghost imaging (GI) can reconstruct the image of an object when the light traveling from the object to the detector is scattered or distorted. It is usually used in complicated environments, where the environmental light may heavily impact measurement. However, the traditional GI algorithm will be seriously affected if the environmental light changes during the measurement. In this paper, we analyze the frequency of environmental light and the light source, and introduce a digital filtering method that can improve the image quality of the traditional GI algorithm. Compared to the traditional GI algorithm, the digital filtering method can obtain an image even if the environmental light changes seriously.
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