Movement compensation method for star sky background image

Abstract

The invention discloses a motion compensation method of a starry sky background image. The method comprises the steps that: first, according to the gray scale and the motion feature of the starry sky background image, motion background compensation is carried out by utilizing two key processes of sample motion parameter estimation and integral motion parameter estimation. An abnormal point is directly removed in the sample motion vector estimation stage and the amount of calculating redundant information in the motion compensation method is reduced; and second, the method of the combination of block matching and centroid extraction is introduced in the sample motion parameter estimation stage. Due to the adoption of the block matching method, the operation speed of sample estimation is raised, the removal of the abnormal point furthermore reduces the amount of data information to be processed and the method based on the centroid extraction further improves the precision of a sample point estimation parameter. The motion compensation method adopts the method based on the combination of the block matching and the centroid extraction to achieve motion compensation in the starry sky background, therefore, calculation amount is lowered by 50 percent and the compensation precision is improved to 0.5 pixels from 1 pixel of the prior art.

Description

technical field [0001] The invention relates to a method for processing a starry sky background image, in particular to a motion compensation method in the starry sky background image. Background technique [0002] The problem of weak and small target detection in the complex motion background directly determines the range and detection performance of the astronomical observation system, and the motion background compensation is one of the key technologies for weak and small target detection. [0003] The document "Motion Background Compensation Technology Based on Robust Regression, Signal Processing, 2002, 18(1): 36-38" discloses a method based on optical flow to estimate the motion parameters of sample points, and uses iterative weighted least squares Multiplication estimates the global motion parameters, avoiding the error of global motion parameter estimation caused by the target point being taken as a sampling point, but the calculation of the weight function greatly i...

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Problems solved by technology

[0004] In order to overcome the shortcomings of low speed and low precision of motion compensation in the prior art, the present invention provides a motion compensation method in starry sky background image, which adopts a method based on block matching, which can effectively improve the calculation speed of sample estimation and eliminate abnormal points It can reduce the amount of information of the data to be processed, and the method based on centroid extraction can improve the accuracy of sample point estimation parameters

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