Multiscale global sampling method for filling image void

A global sampling, multi-scale technology, applied in directions such as filling planes with attributes, can solve problems such as poor filling effects, and achieve the effect of ensuring integrity and rationality

Active Publication Date: 2012-06-20
BEIHANG UNIV
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Problems solved by technology

[0009] According to the actual needs and key issues of image hole filling in scene generation, the purpose of the present invention is to propose a multi-scale global sampling method for image hole filling, find a global best image block and stick it to the hole area, fill or repair The "hole" generated in the scene ob

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  • Multiscale global sampling method for filling image void
  • Multiscale global sampling method for filling image void

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Embodiment Construction

[0030] Specific embodiments of the present invention will be described below in conjunction with the accompanying drawings, so as to better understand the present invention. It should be noted that in the following description, when detailed descriptions of known functions and designs may dilute the main content of the present invention, these descriptions will be omitted here.

[0031] The invention is a multi-scale global sampling method for image hole filling, comprising the following steps:

[0032] Step 1: Divide the input image into a geometry layer and a texture layer, and use tensor voting to restore the geometry layer of the hole area.

[0033] Firstly, the principal parsimony graph representation of the input image is calculated by using the principal parsimony graph algorithm, and the input image is divided into structural regions and texture regions. Then use the edge detection method to automatically track the long and continuous structural lines around the hollo...

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Abstract

The invention provides a multiscale global sampling method for filling an image void, which mainly comprises the following steps: segmenting an input image into a geometrical layer and a texture layer, and recovering the geometrical layer of the image void area by tensor voting; carrying out multiscale grid segmentation on the image void area to form a multiscale image structure of the void area, defining a posterior probability model for the void filling problem on the multiscale image structure, and calculating the globally optimal solution of the posterior probability model by a Markov chain Monte Carlo method based on simulated annealing; and synthesizing missing image information of the image void area according to the void area integral sampling set corresponding to the globally optimal solution. The invention can search out a globally optimal image block to be attached to the void area, so as to fill or recover the void generated in the virtual scene object extraction and scene edition process, thereby solving the problem of unfavorable filling effect for a complex image or large void area condition due to the irreversible void filling process.

Description

technical field [0001] The invention relates to the technical fields of computer vision, image processing and virtual reality, in particular to a multi-scale global sampling method for image hole filling, which repairs the "hole" generated in the process of scene object extraction and scene editing, and ensures the image scene after filling Visually plausible. Background technique [0002] Image virtual scene generation is an important part of virtual reality and virtual scene generation. During the entire process of image virtual scene generation, the following situations may occur: after some scene objects are extracted from the image scene to form scene object materials, the original image scene will appear "hollow" phenomenon; Scene objects Before, it may be necessary to remove some unnecessary objects or objects from the scene; in the process of editing and blending scene objects, new hollow areas may be generated. In order to ensure the integrity of the image virtual...

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Application Information

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IPC IPC(8): G06T11/40
Inventor 陈小武赵沁平周彬徐舫
Owner BEIHANG UNIV
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