High-speed monitoring video quality detection method

A quality inspection method and video monitoring technology, applied in television, electrical components, image communication, etc., to achieve the effect of improving video clarity, improving overall quality, and ensuring clarity and integrity

Pending Publication Date: 2021-05-14
山东高速信息集团有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The technical problem to be solved by the present invention is to propose a high-speed surveillance video quality detection system and method, which can realize the detection of abnormal phenomena in the video image in the case of video image quality distortion or degradation

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  • High-speed monitoring video quality detection method

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Embodiment 1

[0041] This embodiment discloses a high-speed surveillance video quality detection system, including a black screen detection module, an occlusion detection module, a blur detection module, an abnormal brightness detection module, an abnormal chromaticity detection module, and a streak noise detection module;

[0042] The black screen detection module is used to detect whether there is a black screen phenomenon in the video image. The detection process is to first grayscale the video image, and then count the proportion of dark pixels in the total pixels. Pixels whose gray value is less than T1 are called dark pixels. , and finally determine whether the screen is black by setting a threshold. That is, the threshold is set according to a large amount of previous data. When judging a black screen, the ratio of dark pixels to the total pixels is compared with the set threshold. If the ratio is greater than the set threshold, it is a black screen. Otherwise, it is not a black scree...

Embodiment 2

[0049] This embodiment discloses a method for detecting the quality of a high-speed surveillance video, comprising the following steps:

[0050] S01), black screen detection, specifically:

[0051]1) Convert the image to grayscale, and calculate the grayscaled value of the pixel by the formula Gray=R*0.299+G*0.587+B*0.114. R, G, and B are the three channels of the pixel, and the pixel is grayscaled The pixels with the final value smaller than T1 are called dark pixels, and then calculate the ratio of dark pixels to the total pixels rate, rate=blackNum / totalNum, blackNum is the total number of dark pixels, totalNum is the total number of pixels, totalNum=gray.rows*gray. cols, gray.rows indicates the height of the image, gray.cols indicates the width of the image, and T1 is the empirical value for judging dark pixels;

[0052] 2) Set the contrast threshold T, compare the ratio rate of dark pixels to the total pixels with the contrast threshold T, if rate>T, the current image is...

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Abstract

The invention discloses a high-speed monitoring video quality detection method. The method comprises: stripe detection, blank screen detection, shielding detection, fuzzy detection, brightness detection and chromaticity detection. According to the method, the abnormal phenomena of the image, such as image blurring, image color cast, brightness abnormity, picture shielding and the like, can be detected aiming at the condition of video image quality distortion or degradation. According to the method, the overall quality of the image is improved, the video definition is improved, and technical support is provided for determining a defective video camera, so that relevant maintenance personnel are notified to adjust relevant parameters of abnormal video equipment, and the clearness and integrity of the video image in the expressway are ensured.

Description

technical field [0001] The invention relates to a high-speed surveillance video quality detection method, which belongs to the technical field of high-speed surveillance video image processing. Background technique [0002] With the continuous advancement of the road traffic safety prevention and control system, a relatively complete traffic safety prevention and control system has been basically established on the national highway backbone network and national and provincial trunk roads, and the coverage of traffic video surveillance equipment has increased significantly. However, due to system equipment failure and external interference, the video image quality is distorted or degraded, which affects the effective monitoring of road section information by the monitoring system. Therefore, it is necessary to check the image of the desired video to prevent image quality problems caused by unnecessary losses and security risks. The detection of video quality is mainly to det...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N17/00
CPCH04N17/002
Inventor 赵文杰万青松张伟迟猛王菲谢建文
Owner 山东高速信息集团有限公司
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