High-signal-to-noise ratio quick intensity correlated imaging method

Abstract

A high-signal-to-noise ratio quick intensity correlated imaging method comprises the steps of extracting lines or rows from a Hadamard matrix with M lines and M rows and conducting normalization, conducting matrix reshaping to obtain a modulating signal matrix, generating a synchronous clock signal, transmitting the modulating signal matrix to a modulated light source light field of a digital micromirror array device according to the synchronous clock signal, transmitting the synchronous clock signal to a first data acquisition card and a second data acquisition card to acquire an electric signal, converting the acquired electric signal into a digital signal to be transmitted to a processor, and obtaining an intensity correlated imaging result after standard image normalization processing is conducted on image matrixes output through measurement conducted M times by means of the processor. By the adoption of the method, imaging can be achieved in severe weather, and imaging robustness is high. Compared with traditional intensity correlated imaging methods, the method has the advantages that signal to noise ratio is high, image quality is high, imaging speed is high, and the requirements for practical application can be met.

Description

technical field [0001] The invention relates to an intensity correlation imaging and quantum imaging technology, in particular to a high signal-to-noise ratio rapid intensity correlation imaging method. Background technique [0002] The traditional intensity-correlated imaging technology (also known as "ghost" imaging or quantum imaging) is a technology based on the second-order correlation characteristics of thermal optical field or quantum optical field to reconstruct object information in a non-localized manner. With the development and improvement of technology, the intensity-correlated imaging scheme no longer needs a reference detector to measure the instantaneous intensity of the light field, but the requirements for the light source are high, and the light source control needs to meet high-speed, effective and stable. With the development of microelectromechanical system (MEMS) technology and technology, a spatial light modulator (spatial light modulator, SLM) has em...

AI Technical Summary

Problems solved by technology

Although the CS algorithm can use the same data to obtain images with a higher signal-to-noise ratio, the CS algorithm is a nonlinear algorithm and cannot be solved in real time and parallelized.

Therefore, the intensity-correlated imaging (or single-pixel image sensor) technology based on compressive sensing schemes cannot reach a practical level at present

However, the recording light field in the traditional intensity-correlated imaging technology has extremely high requirements on the camera frame rate and data transmission rate, and the existing devices are far from meeting the requirements, which has become a bottleneck for the practical application of the correlation imaging technology.

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