Quantum imaging method and quantum imaging system

Abstract

The invention provides a quantum imaging method and a quantum imaging system. According to the quantum imaging method, measurement data of at least any three parameters of Sn, Sn+m, In(x, y) and In+m(x, y) needs to be stored. Therefore, the amount of stored data is reduced in terms of overall implementation, and the burden of data storage is reduced. Meanwhile, computing resources involved in thequantum imaging method are correspondingly reduced, hardware implementation is simplified, and practical use of quantum imaging is facilitated. In the method, n and m in Sn, Sn+m, In(x, y) and In+m(x,y) are any positive integers. Data required for calculation through the quantum imaging method is not limited by adjacent frames, and imaging can be performed across multiple frames, so that quantumimaging is realized more flexibly. By means of the quantum imaging method, data processing is simplified, rapid and efficient imaging is achieved, the speed and efficiency of quantum imaging are improved, and therefore, online imaging can be achieved.

Description

technical field [0001] The present application relates to the field of quantum imaging, in particular to a quantum imaging method and a quantum imaging system. Background technique [0002] Quantum imaging, also known as "ghost imaging" or "associated imaging", has made great progress in recent years and has attracted widespread attention. It has important theoretical and practical significance. Quantum imaging works by splitting light from a light source into two beams, one called signal light, which shines on a target object and is collected by a "bucket detector". The other beam is called the reference light, which directly shines on an area array detector (or scans the point detector point by point on the transverse plane at the appropriate position of the reference light path). The result of each pixel on the area array detector and the result of the barrel detector are sent to the data processing unit for coincidence operation, and the image of the object can be repro...

AI Technical Summary

Problems solved by technology

[0004] Based on this, it is necessary to solve the problem that the traditional quantum imaging method has very large computing resources and slow computing speed, resulting in low speed and efficiency of quantum imaging, and provide a method that can reduce the amount of stored data, simplify data processing complexity, and quickly and efficiently Quantum imaging method and quantum imaging system for realizing quantum imaging

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