Non-local depth image super-resolution rebuilding method based on minimum spanning tree (MST)

A super-resolution reconstruction and super-resolution technology, applied in the field of depth map super-resolution reconstruction, can solve the problems of high time complexity and difficult to satisfy

Active Publication Date: 2013-07-24
TIANJIN UNIV
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Problems solved by technology

However, there is a common problem in the existing methods: the time complexity is high, it is difficu

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  • Non-local depth image super-resolution rebuilding method based on minimum spanning tree (MST)
  • Non-local depth image super-resolution rebuilding method based on minimum spanning tree (MST)
  • Non-local depth image super-resolution rebuilding method based on minimum spanning tree (MST)

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Embodiment Construction

[0057] The technical scheme that the present invention takes comprises the following steps:

[0058] 1) Using Middlebury's data set (paired color map and depth map) as test data, the depth map is down-sampled according to the super-resolution ratio to obtain the initial low-resolution depth map that needs to be reconstructed, and then the initial depth map Perform a simple preprocessing step, that is, use Bicubic Interpolation to enlarge the downsampled depth map to its original size.

[0059] 2) Think of the color texture map as a connected undirected graph G=(V, E), the node V corresponds to all the pixels in the image, and the edge E corresponds to the connection between the nearest adjacent pixels in the image, so A standard 4-connected planar graph is obtained. Let s and r be a pair of adjacent nodes, and the weight of the edge connecting s and r is defined as follows:

[0060] ω(s,r)=ω(r,s)=|I(s)-I(r)| (1)

[0061] ω(s,r) is the weight of the edge connecting s and r, ...

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Abstract

The invention belongs to the field of computer vision and image processing, and provides a rapid non-local super-resolution rebuilding method based on a minimum spanning tree (MST). Time complexity of an algorithm is reduced, meanwhile the quality of a rebuilding result is maintained, and a good balance between the time complexity and the quality is achieved. According to the technical scheme, the rapid non-local super-resolution rebuilding method based on the MST comprises the following steps: (1) obtaining an initial low-resolution depth image required to be rebuilt, then carrying out further simple pre-processing on the initial depth image, (2) obtaining a standard 4-connected planar graph, (3) obtaining the MST corresponding to an undirected connected graph in the step (2), and (4) rebuilding the coarse depth image after pre-processed according to the MST. The non-local super-resolution rebuilding method based on the MST is mainly applied in image processing.

Description

technical field [0001] The invention belongs to the field of computer vision and image processing, and specifically relates to a non-local minimum spanning tree (MST, Minimum Spanning Tree) super-resolution method for low-resolution depth maps, that is, a non-local super-resolution method based on minimum spanning tree A Depth Map Super-Resolution Reconstruction Method. Background technique [0002] Image Super Resolution (Image Super Resolution), that is, to improve the resolution of the original image by means of hardware or software, and the process of obtaining a high-resolution image through a series of low-resolution images is super-resolution reconstruction. The core idea of ​​super-resolution reconstruction is to trade temporal bandwidth (acquiring multi-frame image sequences of the same scene) for spatial resolution, and realize the conversion from temporal resolution to spatial resolution. [0003] The most direct way to improve the image resolution is to increase...

Claims

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Application Information

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IPC IPC(8): G06T3/40G06T7/00
Inventor 杨敬钰张群侯春萍
Owner TIANJIN UNIV
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