Integrated imaging super-resolution micro-unit image array acquisition and reconstruction method

Abstract

The invention discloses an integration imaging super-resolution micro-unit image array acquisition and reconstruction method and mainly solves a problem that the resolution of a conventional camera cannot satisfy an integration imaging requirement. The imaging method of the invention comprises: (1) setting a multi-valued encoding mask array; (2) acquiring low-resolution compressed encoding micro-unit image arrays; (3) preprocessing images; and (4) reconstructing the super-resolution micro-unit image array. The method adds the multi-valued encoding mask array to the intermediate image plane of a microlens array, records multiple low-resolution compressed encoding micro-unit image arrays, and acquires the super-resolution micro-unit image array by using a sparse optimization reconstruction algorithm. The method has advantages of micro-unit image array super-resolution reconstruction and a large field of view range of integration imaging display, and can be used in the fields of 3D movies, medical imaging and the like.

Description

technical field [0001] The invention belongs to the technical field of image processing, and further relates to an integrated imaging super-resolution micro-unit image array acquisition and reconstruction method in the technical field of three-dimensional optical imaging and stereoscopic display super-resolution image imaging. The invention can be used in the fields of 3D movies, medical imaging and the like to realize super-resolution acquisition and reconstruction of integrated imaging micro-unit images. Background technique [0002] Low viewing resolution is an important factor limiting the development of integrated imaging technology. Among them, the resolution of integrated imaging depends on the pixel of the detector. Improving the resolution of the micro-unit image array means manufacturing more and smaller-sized pixels on a larger sensor substrate. However, limited by the detector processing technology and production cost, it is difficult to improve the resolution b...

AI Technical Summary

Problems solved by technology

The disadvantage of this method is that the high-resolution micro-unit image reconstructed by simple splicing and recombination is relatively blurred, and the reconstruction itself is still limited by the low-resolution micro-unit image, which cannot solve the problem that is difficult in the prior art by reducing the image size. The problem of improving the imaging resolution by increasing the pixel size or the number of pixels, the field of view range of the integrated imaging display terminal does not change much

The disadvantage of this method is that the intelligent pixel mapping adopted simply maps the long-distance 3D scene to a position close to the microlens array, and the resolution of the 3D image is still limited by the pixel size of the detector.

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