Construction method for discrete degradation image of turn-back motion target in static background

Abstract

The invention relates to a construction method for a discrete degradation image of a turn-back motion target in a static background, belonging to one part using more than one image in the field of image data processing or generation, in particular to a construction method for a discrete motion blur image. The method comprises the following steps of dividing a turn-back motion process of a target image into m sections of one-way motion processes; constructing ni sub-images figi j (j is equal to 1, 2,..., ni) according to the distances among ni pixels of the target image motion in the ith section of one-way motion process in the premise that the edge of the target image does not exceed the edge of a static background image all the time; and performing weighted linear superposition according to the following formula: in the formula, wi and j are weighting coefficients, and fig is the constructed discrete degradation image. The construction method for the discrete degradation image has the advantages that the operation time is short; a degradation process is intuitive and convenient to understand; the image is not required to be readjusted; the motion blur image which is formed by motion targets occupying partial view fields can be simulated, and the phenomenon that information on both sides of the image is superposed is prevented.

Description

technical field [0001] A discrete degraded image construction method of a reentrant moving target in a static background belongs to the general image data processing or generation field by using more than one image, and in particular relates to a discrete motion blurred image construction method. Background technique [0002] If there is relative motion between the image sensor and the target during imaging, the resulting image will suffer from motion blur. This phenomenon is very common in the fields of daily life, industrial production, and aerospace. Although motion blurred images can show artistic beauty in some special fields, in most fields such as transportation and industrial production, motion blurred images can only give us the recognition of the target in the image and the detailed information of the target. Get in trouble. For example, the electronic eye in the field of transportation, if the blurred degree of the captured image has brought difficulties to the ...

AI Technical Summary

Problems solved by technology

[0018] The prior art method has the following disadvantages: 1) The spatial domain convolution degradation method takes a long time to calculate; 2) The frequency domain Fourier transform degradation method is not intuitive and difficult to understand, and the image needs to be moved after the inverse Fourier transform ; 3) Both the spatial domain method and the frequency domain method appear to superimpose the information on both sides of the image that is inconsistent with the real situation; 4) The spatial domain method and the frequency domain method can only degrade the entire image

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