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Video image blurred screen detection method, device, computer equipment and storage medium

A technology of video image and detection method, which is applied in image communication, television, electrical components, etc., and can solve problems such as high labor cost and high labor intensity

Active Publication Date: 2020-08-11
零洞科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

The traditional way of detecting artifacts is mainly by means of naked eyes. This method is not only labor-intensive, but also has high labor costs.

Method used

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  • Video image blurred screen detection method, device, computer equipment and storage medium
  • Video image blurred screen detection method, device, computer equipment and storage medium
  • Video image blurred screen detection method, device, computer equipment and storage medium

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Embodiment Construction

[0034] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0035]The video image blurring detection method provided by this application can be applied to such as figure 1 shown in the application environment. can be applied as figure 1 shown in the application environment. Wherein, the terminal 104 communicates with the streaming media device 102 and the server 106 through the network. Wherein, the terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices. Corresponding application software (application program) is installed in the ter...

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Abstract

The invention relates to a video image blurred screen detection method, device and system and computer equipment. The method comprises the steps that a to-be-detected video image is acquired, a firstgray level image is acquired, and the first gray level image is a gray level image of a reference video image; the to-be-detected video image is converted into a second grayscale image; a Laplace factor of the second grayscale image is determined according to the second grayscale image; a Laplace fuzzy factor of the first gray level image is determined according to the first gray level image; a Laplacian factor difference value is calculated according to the Laplacian factor of the second gray level image and the Laplacian fuzzy factor of the first gray level image; and when the Laplace factordifference value is smaller than a preset difference value threshold value, the situation that a blurred screen appears in the to-be-detected video image is determined. By adopting the method, the labor intensity can be reduced, and the labor cost can be saved.

Description

technical field [0001] The present application relates to the technical field of video surveillance, and in particular to a video image artifact detection method, device, computer equipment and storage medium. Background technique [0002] With the development of urbanization, the video surveillance system has become one of the most important systems for community security management. Therefore, high-definition video images and stable video streams are particularly important for daily monitoring requirements. [0003] In order to ensure a high-definition video picture and a stable video stream, it is particularly important to detect the quality of the video picture (or video image). Among them, blurred screen detection is an important detection in the quality detection of video images. The traditional way of detecting artifacts is mainly by means of naked eyes. This method is not only labor-intensive, but also has high labor costs. Contents of the invention [0004] Base...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N17/00
CPCH04N17/00
Inventor 谭维鹏余天星何龙张世杰刘斌梁学斌邵涟
Owner 零洞科技有限公司
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