Optimized and accelerated depth map super-resolution interpolation method

An interpolation method and super-resolution technology, applied in image analysis, image enhancement, image data processing and other directions, can solve problems such as large amount of calculation and slow reconstruction efficiency, achieve optimization speed, reduce calculation amount and time-consuming, eliminate Effects of Noise and Holes Problems

Active Publication Date: 2022-04-08
ANHUI YUNSEN INTERNET OF THINGS TECH
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AI Technical Summary

Problems solved by technology

Depth map super-resolution reconstruction is essentially a process of upsampling interpolation from low-resolution images to high-resolution images. However, the interpolation algorithms in the prior art are floating-point data, which requires a large amount of calculation and slows down the overall reconstruction efficiency.

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  • Optimized and accelerated depth map super-resolution interpolation method
  • Optimized and accelerated depth map super-resolution interpolation method
  • Optimized and accelerated depth map super-resolution interpolation method

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Embodiment Construction

[0040] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0041] Depend on figure 1 As shown, the present invention provides an optimized and accelerated depth map super-resolution interpolation method, comprising the following steps:

[0042] S1, using the denoising method of connected domain detection to denoise the original depth map, the specific method is:

[0043] Set the connected domain detection threshold and the connected domain area threshold;

[0044] Traversing the original depth map, judging the pixel...

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Abstract

The invention discloses an optimized and accelerated depth map super-resolution interpolation method, which comprises the following steps of: pre-defining a pre-sampling kernel, storing a coordinate relationship between each pixel point in a window and four known pixel points of the window in the pre-sampling kernel, and optimizing floating point type numerical calculation into integer numerical calculation, the purpose of optimizing the speed is achieved on the premise that the precision is not lost, and the efficiency of the interpolation algorithm is improved. Different interpolation strategies are adopted at the boundary, the pyramid noise problem at the boundary is eliminated in the reconstruction process, denoising processing does not need to be carried out on the reconstructed depth map again, and the calculation amount and time consumption are reduced. In order to eliminate the problem that a large amount of noise exists in a cavity area of a depth map after super-resolution reconstruction, denoising, cavity detection and cavity filling are carried out on a low-resolution depth map, namely an original depth map, before reconstruction, and the noise and cavity problems of the low-resolution depth map are eliminated.

Description

technical field [0001] The invention relates to the technical field of image data processing, in particular to an optimized and accelerated depth map super-resolution interpolation method. Background technique [0002] Compared with traditional images, a depth map is a special image, which is used to record the geometric information of the scene. In recent years, the RGB-D data format combined with texture maps and depth maps has been widely used in high-tech fields such as virtual reality and 3D reconstruction. With the continuous improvement of imaging technology, high-quality texture maps have been achieved by mobile devices. However, the acquired quality of depth maps, which are an important part of modern multimedia, is not satisfactory. At present, the mainstream time-of-flight-based TOF and depth sensor technology based on structured light technology obtain depth maps with low resolution and are susceptible to interference from ambient light noise, so it is necessar...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T3/40G06T5/00G06T5/30G06T7/187
Inventor 万森朱前进周志鹏程跃敏成皿袁泽川
Owner ANHUI YUNSEN INTERNET OF THINGS TECH
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