Anti-scatter imaging method and device

Abstract

The present application proposes an anti-scattering imaging method and device, which includes the following steps: obtaining a speckle image; calculating the autocorrelation information of the speckle image, performing Fourier transform on the autocorrelation information and taking a modulus value to obtain the original target Fourier domain Amplitude information; block the speckle image to obtain N sub-spectrum images, and use the N sub-spectrum images to calculate the bispectrum to obtain the bispectrum phase; where N is a positive integer; calculate the original target according to the bispectrum phase The initial estimated value of the Fourier domain phase, and use the Gauss-Newton optimization method to iteratively optimize the initial estimated value to obtain a high-precision Fourier domain phase; according to the original target Fourier domain amplitude information and high-precision Fourier domain phase Reconstruct the original target image. Therefore, the original target information can be reconstructed from a single speckle image, and the amplitude and phase recovery processes are independent of each other, the phase recovery accuracy is high, and the noise resistance is strong.

Description

Anti-scatter imaging method and device technical field [0001] The present application relates to the technical field of computational photography, in particular to a method and device for anti-scatter imaging. Background technique [0002] When there is an obstructed scattering medium in free space, such as fog, biological tissue, etc., due to the inhomogeneity of the medium, the After the photon interacts with it, it changes the direction of propagation. This interaction is often multiple and indeterminate, eventually leading to The light path becomes randomized, i.e. scattered. From a visual point of view, light will lose its target information after passing through a strong scattering medium. interest. The image that the device captures the scattered light is made up of numerous chaotic spots called a speckle pattern. [0003] Many methods of imaging through scattering media have been developed. But most methods require hacking into the original Either place a "...

AI Technical Summary

Problems solved by technology

First of all, the phase recovery algorithm depends on the amplitude information, if the amplitude is inaccurate, the phase information will not be accurate; secondly, most of the phase recovery algorithms do not recover the results ideally, and can only reconstruct the original target with a simple structure, and cannot know the target The specific position in the background; finally, the anti-noise performance of the phase recovery algorithm is not ideal. Due to the limitation of shooting hardware, when the speckle image is noisy, it will greatly affect the reconstruction quality

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