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Motion blur removing method based on close shot remote sensing

A technology of motion blur and remote sensing, applied in the field of remote sensing and image processing, can solve the problems of many interference factors and inaccurate results, and achieve the effect of good applicability and accurate calculation and restoration results

Inactive Publication Date: 2017-07-07
WUHAN UNIV OF TECH
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The above methods all have a certain amount of motion blur energy, but there is a lot of uncertainty, there are many interference factors, and the results are not accurate enough.

Method used

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  • Motion blur removing method based on close shot remote sensing
  • Motion blur removing method based on close shot remote sensing
  • Motion blur removing method based on close shot remote sensing

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Embodiment Construction

[0010] Below in conjunction with specific embodiment the present invention is described in further detail:

[0011] The method for removing motion blur based on close-range remote sensing of the present invention, it comprises the steps:

[0012] Step 1: Obtain the street view video of the selected area, then extract the sequence blurred image of the street view video by frame extraction, then digitally process the sequence blurred image by MATLAB software to obtain a digital sequence blurred image;

[0013] Step 2: Matlab software obtains the RGB three-dimensional data matrix of the digital sequence blurred image above, and then according to the bidirectional symmetry characteristics of the forward optical flow and backward optical flow, based on the brightness change of the digital sequence blurred image, use the bidirectional optical flow estimation method Perform data regularization estimation processing, and then obtain the estimated digital sequence blurred image optical...

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Abstract

The invention relates to a motion blur removing method based on close shot remote sensing. The method comprises the steps that 1, a streetscape video of a selected region is acquired, a sequence blurred image of the streetscape video is obtained through framing extraction, and then the sequence blurred image is digitalized to obtain a digital sequence blurred image; 2, an RGB three-dimensional data matrix of the digital sequence blurred image is obtained, data regular estimation processing is performed through a bidirectional optical flow estimation method based on brightness variation of the digital sequence blurred image according to the bidirectional symmetry characteristic of forward optical flow and backward optical flow, and then estimated digital sequence blurred image optical flow is obtained; and 3, an optical flow restoration method is utilized to obtain a restored image of the estimated digital sequence blurred image optical flow, and edge blurs of an object in the image are removed. According to the method, a streetscape image is processed, an optical flow algorithm, a pyramid hierarchical algorithm and a Fourier accumulation algorithm are utilized to restore a blurred domain in a streetscape, and therefore the streetscape can be applied.

Description

technical field [0001] The invention belongs to the technical field of remote sensing and image processing, in particular to a method for removing motion blur based on close-range remote sensing. Background technique [0002] In recent years, photogrammetry or virtual reality systems based on mobile platforms are in the ascendant. Li Deren and others first proposed and realized the vehicle-mounted road measurement system (Li Deren 2008), and the vehicle-mounted street view collection systems of Tencent, Baidu and other companies (Ning Yongqiang 2016) are also gradually mature And achieved large-scale commercial applications, these mobile platform-based measurement or virtual reality systems rely on clear images. However, in the case of poor light and high speed, the image of the mobile platform may appear motion blur, and the removal of motion blur has become an important requirement for expanding the applicable conditions of remote sensing applications on the mobile platfor...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06T5/50G06T7/10G06T7/30
CPCG06T5/50G06T2207/20192G06T2207/10016G06T5/73
Inventor 雷震唐梁张宇
Owner WUHAN UNIV OF TECH
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