Jianan Wu
ABSTRACT
Computational ghost imaging is a new imaging technique, which breaks through the limitations of traditional imaging and can be performed in some complex environments due to its advantages of nonlocalization, anti-interference and super-resolution. In order to obtain high-quality imaging results, a large number of speckle patterns and long time correlation operations are usually required, and different reconstruction algorithms and speckle patterns have an important impact on the imaging results. In this paper, a remote computing ghost imaging system is designed based on the cloud service model, which allows users to upload the barrel detection values to the cloud, utilize a high-performance server for image reconstruction computation, and obtain the final imaging results through the client. The system integrates four speckle patterns and five image reconstruction algorithms, which can be flexibly selected by the user according to the experimental needs.It also provides an image visibility enhancement function that makes imaging results clearer. By integrating the concept of cloud service into the computational ghost imaging technology, the flexibility of the computational ghost imaging system and the imaging efficiency are indirectly improved, which promotes the practicalization of the computational ghost imaging technology.
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Index Terms
- Computational Ghost Imaging System Based on Cloud Services
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The physics of ghost imaging
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