A Computational Correlation Imaging Denoising Method and System Based on Dynamic Speckle Field

Abstract

The invention discloses a computational correlation imaging denoising method and a system based on dynamic speckle field. The method comprises the following steps of substituting a fixed light intensity modulated signal with a frame in a digital micromirror modulator original light intensity modulated signal sequence; according to the substituted light intensity modulated signal, modulating the coherent light emitted by a laser into incoherent light, and using the modulated incoherent light to illuminate the object to linearly estimate the change of the noise and further recover the signal ofthe reflected light intensity of the real object; finally, reconstructing a image of the object to be measured by calculating and correlating the signal of the reflected light intensity with the lightintensity modulated signal of the incoherent light. The computational correlation imaging denoising method or system based on dynamic speckle field of the present invention is capable of resisting the effects of dynamic interference in associated imaging.

Description

technical field [0001] The present invention relates to the field of image processing, in particular to a computational correlation imaging denoising method and system based on a dynamic speckle field. Background technique [0002] In traditional optical imaging, a single two-dimensional detector with resolving power is generally used to directly record the light intensity signal, and there is a one-to-one correspondence between the image and the point on the object. Different from traditional optical imaging, computational correlation imaging obtains the image of an object by correlating the intensity, phase and spatial fluctuation of the radiation field distribution. Utilizing the properties of quantum mechanics, it breaks through the limitation of the diffraction limit in the quantum imaging mechanism, and can realize imaging under the condition of extremely narrow spectral bands in extremely weak light intensity and complex environments, and it breaks through the limitat...

AI Technical Summary

Problems solved by technology

There are deficiencies in the actual use of computational correlation imaging: because the single-photon detector used in correlation imaging is extremely sensitive, the single-photon detection signal includes fluctuations in the light source and disturbances in ambient stray light, etc., resulting in a greater impact on measurement by interference

The disadvantage of this method not only requires two single-photon detectors, which greatly increases the hardware cost, but also can only remove common-mode noise, but cannot remove noise such as dynamic interference in the atmospheric environment

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