Single-vision overall depth information acquisition method based on diffraction blurring

Abstract

The invention discloses a single-vision overall depth information acquisition method based on diffraction blurring and belongs to the technical field of image processing. A first image is collected when the focal length, the image distance, the numerical aperture, the imaging wave length and the proportionality coefficient between the blur circle radius and the ambiguity of the same camera are fixed; under the condition that the aspects are not changed, the distance between the camera and an object is changed, and then a second image is collected, wherein the change magnitude of the distance is delta s; a diffraction blurring model is established and used for describing the relation between the depth of the object and the image blurring degree; the diffraction blurring model and the two blurred images are used for determining the overall depth information of the second image; a 3D image of the second image is formed according to the obtained overall depth information. According to the single-vision overall depth information acquisition method based on diffraction blurring, the diffraction mechanism is fused into traditional geometrical optical convex lens blurring imaging, a mathematical model of the relation between diffraction blurring and the 3D depth of the object is established, and the accuracy of an out-of-focus object depth acquisition method based on traditional geometrical optics is improved.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a method for acquiring global depth information of single vision based on diffraction blur. Background technique [0002] Due to the advantages of real-time, non-destructive, and strong environmental adaptability of optical observation, the technology of using two-dimensional optical images to reconstruct the three-dimensional depth information of the scene is one of the hotspots and frontier issues in the field of high-precision observation. Materials, energy, biomedicine, precision manufacturing and other fields have broad application prospects. Typical 3D visual observation methods mainly include focusing depth acquisition methods and defocus depth acquisition methods. The former uses the layered focusing imaging mechanism to obtain the depth information of scene images and realize 3D scene reconstruction. The latter is to use the defocus measurement mech...

AI Technical Summary

Problems solved by technology

However, so far, there is no accurate mathematical model between optical diffraction and image blurring in the process of blurred imaging

Moreover, the above-mentioned defocus depth acquisition method assumes that there is no optical diffraction in the imaging process when acquiring the depth information of the scene, and the blurring of the image is only caused by the depth change of the scene, which will inevitably lead to depth acquisition errors.

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