A computational imaging method and device based on a folding mask structure

Abstract

The invention provides a computational imaging method and device based on a folding mask structure. The method comprises the following steps: generating a mask sequence by reducing symmetry and symmetry reverse folding; according to the number of connected regions in each mask of the mask sequence, performing abnormal correction on the mask sequence to obtain an optimal mask sequence; selecting apreset number of masks from the optimal mask sequence for complementary difference measurement and image reconstruction. According to the contribution degree of the mask to the reconstruction qualityof the object to be imaged, a mask sequence is constructed by using a mask reducing symmetry and symmetry reverse fold, and the abnormal order of the mask is corrected according to the increasing order of the number of the connected regions of the mask so that the probability of emergence of masks with the same number of connected regions is reduced and the uncertainty of masks is reduced; the mask structure is optimized, and the optimized mask sequence is used for image reconstruction, which improves the quality and efficiency of image reconstruction; and the method has the advantages of supersampling, supersensitivity, low sampling dimension, high speed and real-time.

Description

technical field [0001] The invention belongs to the technical field of computational imaging, and more particularly relates to a computational imaging method and device based on a folded mask structure. Background technique [0002] Optical imaging is the most common and effective way to collect information. Traditional imaging technologies using array detectors, ie pixelated sensors or point-scan sampling, have developed relatively maturely. However, there are still many limitations in the imaging conditions of extremely weak light and non-visible light. [0003] In recent years, scientists have developed computational imaging technology, which can calculate the reconstructed image of an object by using the coincidence between the measured value and the modulated speckle on a single point detector without spatial resolution, so it is often called "single Pixel imaging", while the point detector measures the sum of light intensities at modulated selected pixels across the ...

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the problems of high sampling rate, high computational complexity and large memory consumption in the above-mentioned existing computational imaging methods, or at least partially solve the above problems, the present invention provides a computational imaging method and device based on a folded mask structure

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