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Global computing imaging method based on focusing stack monomer data subset architecture

A data subset and computational imaging technology, which is applied in computing, image data processing, 3D modeling, etc., can solve problems such as the reduction of reconstruction accuracy

Pending Publication Date: 2020-08-28
BEIJING INFORMATION SCI & TECH UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, to improve the computational efficiency of focused stack computing imaging, it is mainly achieved by reducing the data volume of focused stack data. However, while reducing the data volume of focused stack data, it brings about the problem of reduced reconstruction accuracy.

Method used

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  • Global computing imaging method based on focusing stack monomer data subset architecture
  • Global computing imaging method based on focusing stack monomer data subset architecture
  • Global computing imaging method based on focusing stack monomer data subset architecture

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Embodiment Construction

[0052] The present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.

[0053] The global computational imaging method based on the focus stack monomer data subset architecture provided by the embodiment of the present invention includes the following steps:

[0054] Step 1, focus stack data from scene image Find the scene image with the largest focus measure value.

[0055] Such as figure 1 A shows the scene image focus stack data In the scene image stack data, each scene image is expressed as It is in the depth direction, according to the depth s v The difference in order to obtain I scene images.

[0056] The method of "finding the scene image with the largest focus metric value in the focus stack data of the scene image" can be realized by the following method.

[0057] The first method describes the focus measurement of a single pixel in the image based on edge information, as shown in the following formula ...

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Abstract

The invention discloses a global computing imaging method based on a focusing stack monomer data subset architecture. The method comprises the following steps: 1, finding out a scene image with the maximum focusing measure from scene image focusing stack data; 2, dividing area images corresponding to all single areas in the scene image; 3, finding out a single body region on the single body regionimage of the scene image with the maximum focusing measure; 4, finding out the focusing stack data of the jth monomer by utilizing the monomer region; 5, selecting a representative region in the monomer region, and screening out V scene images from the I scene images of the focusing stack data of the jth monomer to obtain a vth image of the jth monomer and a focusing stack monomer data subset; 6,carrying out depth reconstruction and full-focus imaging on the single body; 7, optimizing local consistency; 8, carrying out global fusion. According to the method, the calculation efficiency of focus stack reconstruction can be improved, and high-precision reconstruction of the three-dimensional scene monomer is realized.

Description

technical field [0001] The present invention relates to the technical fields of computer vision and digital image processing, in particular to a global computational imaging method based on a focused stack single data subset architecture. Background technique [0002] Focus stack computational imaging is a means of computational imaging that enables depth reconstruction, omnifocus imaging, and light field reconstruction. The acquisition of focus stack data is to take a set of images focused on different planes from a fixed angle, which can be realized by moving the object to be photographed, moving (or changing) the imaging lens, or moving the imaging detector. [0003] The focus stack data contains rich scene information, for example: using the focus measure to process the focus stack data pixel by pixel, the reconstruction of scene depth and full focus map can be realized; using the projection model, the light with any angular resolution can be reconstructed from the focus...

Claims

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Application Information

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IPC IPC(8): G06T17/00
CPCG06T17/00
Inventor 刘畅邱钧亢新凯
Owner BEIJING INFORMATION SCI & TECH UNIV
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