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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Problems solved by technology

The above methods all have a certain amount of motion blur energy, but there is a lot of

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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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[0010] The present invention will be further described in detail below in conjunction with specific embodiments:

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

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

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

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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...

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Application Information

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