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Quick global motion estimating method for steadying video

A global motion and video stabilization technology, applied in digital video signal modification, television, computing, etc., can solve problems such as foreground motion interference, reduce the range of motion estimation, and reduce the accuracy of motion vectors

Inactive Publication Date: 2008-10-08
BEIHANG UNIV
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AI Technical Summary

Problems solved by technology

[0006] Generally speaking, the existing technical schemes reduce the calculation time by reducing the amount of data, but there are still obvious deficiencies in practical applications
For example, the method of using local blocks in the image estimates the global motion vector of the image by calculating the motion of the local blocks, which not only reduces the range of motion estimation, but also is easily disturbed by foreground motion.
The downsampling method will reduce the accuracy of the obtained motion vector, and downsampling the image will easily destroy the correlation between image frames, resulting in inaccurate calculation results

Method used

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  • Quick global motion estimating method for steadying video
  • Quick global motion estimating method for steadying video

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Embodiment Construction

[0034] In the actual video capture environment, especially in real-time working conditions, an applicable global motion estimation method must have high calculation speed, strong anti-interference and good performance while ensuring calculation accuracy. fault tolerance. The present invention basically meets the above requirements by improving the existing Fourier transform-based phase correlation global motion estimation method. The following is a detailed description of this.

[0035] The principle of the phase correlation global motion estimation method used in the present invention comes from the translation characteristic of Fourier transform, that is, by comparing the phase relationship of the frequency spectrum of two images, the motion offset between images in the space domain is estimated.

[0036] Through a formal method, it can be described as: two images f 1 (x, y) and f 2 (x, y), there is a translation vector (x 0 ,y 0 )which is:

[0037] f 2 (x, y) = f 1 ...

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Abstract

The invention discloses a video stable and fast global motion estimation method, wherein the method includes the steps: first using the sampling image to perform the preliminary estimate on the global motion vector, then realizing the precise correction of the global motion vector using the overlap area to correspond the local piece, finally checking the obtained global motion vector, thereby obtaining the global motion vector of the current frame. Compared with the traditional method, the invention ensures the computational accuracy and the image stabilized range, greatly reduces the computational complexity, advances the computation speed, and enhances the anti-local interference ability.

Description

technical field [0001] The invention relates to a fast global motion estimation method for video stabilization, in particular to a phase correlation method based on Fourier transform, which can improve the video stabilization effect and belongs to the technical field of digital image processing. Background technique [0002] With the continuous popularization of digital video, video processing technology becomes more and more important, and video stabilization is one of the most important processing technologies. Video stabilization technology is based on the motion parameter model between images in the video, estimates the motion between images, and analyzes the parameters used for compensation, and obtains a stabilized video by rearranging and adjusting each frame of the image in the input video and then A video processing technique that improves the quality of the output video. Its function is to remove unnecessary jitter in the video and compensate for lost information,...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/20H04N7/26H04N19/527H04N19/583
Inventor 李波宋嫱嫱刘养科姜宏旭
Owner BEIHANG UNIV
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