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Denoising method of depth image

A technology in depth images and images, applied in the field of image processing, can solve the problems of lack of deep mining of image structure information, loss of detailed information, unsuitable for depth image restoration, etc., achieving robustness, low computational complexity, Simple and efficient method

Inactive Publication Date: 2014-06-25
BEIJING UNIV OF TECH
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AI Technical Summary

Problems solved by technology

However, this method lacks deep mining of image structure information, and the filtered image is too smooth, losing a lot of detail information, especially the edge structure information with lines
The edge structure information is the most important information in the depth image, so the median filter method is not suitable for the repair of the depth image directly.

Method used

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  • Denoising method of depth image
  • Denoising method of depth image
  • Denoising method of depth image

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Embodiment Construction

[0022] Such as image 3 As shown, the denoising method of this depth image includes the following steps:

[0023] (1) Acquire the median filter image

[0024] (2) Obtain the residual image ΔY;

[0025] (3) Obtain the singular point detection template W;

[0026] (4) Obtain a mixed depth image

[0027] (5) Obtain overlapping mixed depth image blocks

[0028] (6) Obtain the dictionary and sparse coefficients;

[0029] (7) Obtain the reconstructed depth image

[0030] The median filtering algorithm has strong robustness to non-Gaussian noise such as singular points, and the computational complexity of the algorithm is low, simple and efficient. interfering pixels) for fast detection and initial repair. The sparse representation dictionary learning model fully exploits the sparse nature of the depth image signal, and can adaptively mine the deep structural information of the image through the dictionary learning method, so this method can better retain the structura...

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Abstract

The invention discloses a denoising method of a depth image. The denoising method of the depth image is simple and efficient, and has robustness to non-Gaussian noise. The denoising method comprises the steps of (1) acquiring a median filtering image Y, (2) acquiring a residual image delta Y, (3) acquiring a singular point detection template W, (4) acquiring the mixed depth image (please see the specifications for the formula), (5) acquiring overlapped mixed depth image blocks (please see the specifications for the formula), (6) acquiring the dictionary and sparse coefficients, and (7) acquiring a reconstructed depth image (please see the specifications for the formula).

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a denoising method of a depth image. Background technique [0002] The depth image describes the relative spatial position information of the object. In the depth image, the "pixel" value of each point represents the relative distance information of a point on the object in space (that is, the point on the object relative to a certain projection plane distance). Since the depth image can effectively describe the geometric position and structure information of objects in the real world, which cannot be replaced by ordinary optical plane images, the depth image plays an important role in the field of computer vision research and application. In recent years, with the continuous popularization of depth image acquisition, the application of depth image has gradually become a research hotspot, such as the application in multi-angle visual synthesis technology and...

Claims

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Application Information

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IPC IPC(8): G06T5/00
Inventor 孙艳丰刘喜恩胡永利
Owner BEIJING UNIV OF TECH
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