Real-time Video Electronic Image Stabilization Method Based on Field Processing

Abstract

The invention provides a real-time video electronic image stabilization method based on field treatments. The technical scheme includes the following steps that: obtaining an odd field image sequence and an even field image sequence after continuous videos are sampled through analog / digital (A / D), carried out the following treatments on the odd field image sequence and the even field image sequence respectively: respectively obtaining gray level projection curves of a horizontal direction and a vertical direction of odd field images and even field images through adoption of a method of windowing gray level projection; respectively estimating motion vectors of the horizontal direction and the vertical direction of the odd field images through adoption of relevant methods, estimating field shifts corresponding to the same frame video image between an odd field and an even field through use of the relevant methods. Respectively the odd field images and the even field images are in motion compensation. At last, obtaining image stabilization video images through the combination and output of the odd field images and the even field images. The real-time video electronic image stabilization method based on the field treatments is capable of reliably estimating out motion vectors of dynamic shaking images, capable of achieving image stabilization treatments of the dynamic shaking images in real time and remarkably improving the quality of the video images.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to the use of digital image processing to determine the offset of a video image and perform motion compensation to stabilize the image and improve the visual effect of the image. Background technique [0002] Video electronic stabilization is an important research direction in the field of image processing. The main purpose of electronic image stabilization processing is to make the video image containing jitter become stable after processing and easy to observe. At present, there are three main methods of electronic image stabilization: grayscale-based methods, transform domain-based methods, and feature-based methods. The basic principles and technical characteristics of these methods are as follows: [0003] 1. Grayscale-based method [0004] The grayscale-based method directly processes pixels, and the typical method is the grayscale projection algorithm. It uses the ...

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Problems solved by technology

[0012] The method based on the transform domain: the accuracy of image stabilization is high, but it often has a large amount of calculation and is difficult to realize in real time

[0013] Feature-based methods: When the scene is simple or uniform, due to the lack of effective features, feature-based methods are often not reliable and cannot achieve good results

[0014] To sum up, designing a suitable real-time video electronic image stabilization method based on field processing for the characteristics of dynamic jittering video images is an engineering and technical problem that needs to be solved urgently. At present, no public research materials directly related to this problem have been found.

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