Theoretical and experimental analysis on ghost imaging with channel coding theorem

Ghost imaging is analyzed from the perspective of information theory, specifically the channel coding theorem. In the theoretical framework, ghost imaging is viewed as a communication process. The concept of channel capacity is used to determine the minimum number of samplings required to achieve an error-free ghost imaging process. Further study reveals that both conventional imaging and ghost imaging processes can be analyzed within the same theoretical framework. The theoretical analysis shows that the quality of ghost imaging can be improved by employing multiple bucket detectors. These predictions are validated through both simulations and experiments.