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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  • Description
  • Claims
  • Application Information

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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 fo

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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