Adjusting method and adjusting device for video image

Abstract

The invention provides an adjusting method and an adjusting device for a video image. The adjusting method comprises the steps of acquiring equipment jitter vector information and image jitter vector information; determining the adjusting direction and movement distance of the video image by means of the equipment jitter vector information, and determining the displacement distance of the video image by means of the image jitter vector information; determining the jitter adjustment value of the video image by means of the movement distance and the displacement distance; and adjusting the video image which is acquired by front-end equipment by means of the adjusting direction and the jitter adjustment value. Through the technical solution of the invention, the invention provides a jitter preventing mode used on the front-end equipment. The jitter preventing mode has high jitter preventing effect and furthermore can effectively eliminate or alleviate problems such as fuzzy video image caused by jitter of the front-end equipment. The adjusting method and the adjusting device are suitable for various security jitter-preventing occasions so that higher anti-jitter adaptability of the front-end equipment is realized. Furthermore the front-end equipment which supports an anti-jitter capability can be widely applied on a security market.

Description

technical field [0001] The invention relates to the field of video technology, in particular to a video image adjustment method and device. Background technique [0002] Video surveillance is an important part of the security system. Video surveillance is widely used in many occasions because of its intuition, accuracy, timeliness and rich information content. In recent years, with the rapid development of computer, network, image processing and transmission technology, the popularization trend of video surveillance has become more and more obvious. In the video surveillance system, the anti-shake of the front-end equipment (such as a camera) is a very important link. If the anti-shake function of the front-end equipment is not perfect, it will directly cause the video image to be blurred and affect the video surveillance effect. [0003] However, the anti-shake method currently used on the front-end equipment has an unsatisfactory anti-shake effect, and cannot effectively ...

AI Technical Summary

Problems solved by technology

In the video surveillance system, the anti-shake of the front-end equipment (such as a camera) is a very important link. If the anti-shake function of the front-end equipment is not perfect, it will directly cause the video image to be blurred and affect the video surveillance effect.

[0003] However, the anti-shake method currently used on the front-end equipment has an unsatisfactory anti-shake effect, and cannot effectively eliminate or slow down problems such as blurred video images caused by front-end equipment shaking.

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