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High-magnification super-resolution method based on double transform domain

A super-resolution, double-transform technology, applied in the field of computer vision, can solve problems such as unsatisfactory high-magnification reconstruction results

Active Publication Date: 2021-02-05
TIANJIN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, although the double-transform domain method can achieve excellent results on the small-magnification super-resolution problem, the high-magnification reconstruction results are still unsatisfactory.

Method used

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  • High-magnification super-resolution method based on double transform domain
  • High-magnification super-resolution method based on double transform domain
  • High-magnification super-resolution method based on double transform domain

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Experimental program
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Embodiment Construction

[0045]1) Turn a high-magnification problem into a multi-level small-magnification cascade problem. For each level of small-magnification super-resolution problem, use equation (1) to model:

[0046]

[0047]

[0048]Among them, let F(α)=ED(x,y)+λ1ETR (x,z)+λ2ESR (x,z),x∈Rn, Y∈Rm,z∈RnThey are the vectorized restored depth map, the vectorized low-resolution depth map and the vectorized high-resolution color map, ED(x,y) is the data item, ETR (x, z) is the regular term in the transform domain, ESR (x,z) is the regular term of the spatial domain, λ1And λ2Is the weight parameter to balance each item, min represents the minimum value,Represents the value of the variable x when the following formula is minimized; H represents the synthesis operator of fuzzy and sampling, αiRepresents block xiIn the dictionaryCoefficient under,Represents block xiThe dictionary corresponding to the type of block, xiIs the image block with the center at i in the depth map x; αqIs block xiThe qth similar block xi,q The...

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Abstract

The invention relates to the field of computer vision and is used for improving depth map high magnification super resolution quantitative and qualitative results based on double transformation domains. According to a technical solution adopted in the invention, a double transformation domain-based multi-grade cascaded depth map super resolution method is employed and comprises the following steps: a high magnification problem is changed into multi-grade small magnification problems; for small magnification super resolution problems on each grade, modeling operation is performed via formula (1) described in the specification of the invention; final small magnification super resolution results can be obtained after the formula (1) is solved. The method disclosed in the invention is mainly applied to computer vision processing occasions.

Description

Technical field[0001]The invention belongs to the field of computer vision. The regular term based on the frequency domain and the space domain can obtain the latest level of results for the super-resolution of small magnification, but can not obtain satisfactory results for the super-resolution of high magnification. The present invention makes an innovative improvement to this problem.Background technique[0002]In-depth information has been widely used in virtual reality, augmented reality, and 3D reconstruction. Despite the rapid development of depth cameras in recent years, the resolution of depth maps obtained by mainstream depth sensors (such as Kinect and TOF) is still far lower than that of color maps. Therefore, it is of practical significance to propose an effective depth map super-resolution method. At present, there are many excellent methods that have obtained good results on the super-resolution problem of the depth map with small magnification, but the problem of super...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T3/40
CPCG06T3/4053
Inventor 姜中玉杨敬钰岳焕景侯永宏侯春萍
Owner TIANJIN UNIV