Method and device for removing redundant images from video

Abstract

The invention relates to a method and a device for removing redundant images from a video. The device comprise a monitoring image pickup device, an image preprocessing device, an image contrasting device and an image restoring device which are electrically connected in sequence, wherein images can be shot and cached by the monitoring image pickup device by using a preset resolution ratio and a preset frame rate; and a plurality of blocks which are already stored are timely read by the image restoring device from the image contrasting device, a complete frame of image is restored block by block according to identifiers corresponding to the blocks, and thereby the monitoring video is timely displayed. The device has the advantages that through contrasting a reference image with each frame of image, changes of monitoring pictures can be distinguished, so the changed pictures can be alone transmitted to a monitoring room under the circumstance that the quality of the monitoring pictures is not reduced, and meanwhile, the redundant images are removed, so the aim of greatly reducing the data volume of a monitoring system without influencing the quality of the monitoring video is achieved.

Description

technical field [0001] The invention relates to a method and device for removing redundant images in video. Background technique [0002] With the increasing popularity of surveillance systems in commercial and civilian use, surveillance cameras and / or surveillance cameras are widely used in various occasions such as residential buildings, underground garages, corporate financial offices, and high-incidence areas. [0003] The monitoring camera works 24 hours a day, and the video it monitors is sent to the monitoring room through the transmission medium and displayed on the TV wall. Among them, the transmission medium can be roughly divided into: coaxial cable, network, optical cable, wireless, etc. according to the distance between the monitoring point and the monitoring center. However, the common requirements of various transmission methods are: to be able to transmit the images recorded by the front-end cameras in real time, and at the same time require the transmission...

AI Technical Summary

Problems solved by technology

At present, video surveillance has gradually entered the network era and high-definition era after experiencing the analog era and the digital era. This is facing a big problem: large data volume and slow transmission speed

[0004] In the prior art, the lossy compression method is generally used to preprocess the video image to reduce the amount of data, but the lossy compression method has an impact on the quality of the video image, and the amount of compressed data is still not small. There is still a l

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