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Shipborne video image stabilization method based on ship motion posture prediction

A technology for ship motion and video image stabilization, applied in the field of shipborne video image stabilization, can solve problems such as image motion vector compensation lag, and achieve the effects of enhancing real-time performance, improving image stabilization quality, and improving estimation accuracy

Inactive Publication Date: 2014-01-15
HARBIN ENG UNIV
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Problems solved by technology

[0004] The purpose of the present invention is to provide a ship-borne video image stabilization method based on ship motion attitude prediction, which can effectively solve the problem of lag in image motion vector compensation

Method used

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  • Shipborne video image stabilization method based on ship motion posture prediction
  • Shipborne video image stabilization method based on ship motion posture prediction
  • Shipborne video image stabilization method based on ship motion posture prediction

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Experimental program
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Embodiment Construction

[0020] Step 1: Predict the ship's motion attitude based on the prediction method of particle swarm optimization-least squares support vector machine, and obtain the motion prediction data of the ship's motion vector.

[0021] For the ship motion attitude data {x 1 ,x 2 ,x 3 ,...,x n}, i=1,2,...,n,{x n} is the predicted target value, and the establishment input x={x n-1 ,x n-2 ,x n-3 ,...,x n-m} and output y = {x n} between the mapping relationship.

[0022] In the prediction model, the samples learned by PSO-LSSVM are:

[0023] X = x 1 x 2 . . . x m x ...

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Abstract

The invention relates to a shipborne video image stabilization method based on ship motion posture prediction. The method is characterized in that a ship motion posture prediction method based on a least squares support vector machine (Least squares support vector machine, LSSVM) of particle swarm optimization (Particle swarm optimization, PSO) is provided to predict the ship motion posture, so as to acquire ship motion vector prediction data; according to the ship motion vector prediction data, the motion vector data of images are calculated; the image compensation vector is calculated in advance; and motion compensation is carried out on the images frame by frame. According to the method, a particle swarm optimization algorithm is introduced to carry out parameter selection on the least squares support vector machine; the ship motion posture prediction accuracy is improved; the image motion vector estimation accuracy is improved; the video image stabilization quality is improved; the image compensation vector is calculated in advance; the real-time of an image stabilization algorithm is enhanced; and the problem of lag, which is caused due to the fact that the traditional method estimates the image motion vector according to a fluctuated video, is solved.

Description

technical field [0001] The invention relates to a ship-borne video image stabilization method based on ship motion attitude prediction. Background technique [0002] Due to the long working distance of the ship-borne photoelectric imaging system, it is affected by the attitude change and vibration of the carrier (ship), and the frame-to-frame variation of the image sequence is large, resulting in blurred and unstable images. These unstable video image sequences have many adverse consequences: the performance of weapons is reduced; manual observation is difficult, and it is easy to cause visual fatigue, resulting in missed and misjudgment; the details of the image cannot be clearly expressed, which makes the image processing algorithm more difficult; It is beneficial to the storage of the back-end digital video recording equipment, and the compression ratio is reduced; it has an adverse effect on the visual application of obtaining information from the image, such as the iden...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N5/21H04N5/14
Inventor 傅荟璇王宇超张红梅郑秀丽陈明杰刘洪丹赵凯岐陈永昕
Owner HARBIN ENG UNIV
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