Color diagnostic device and color diagnostic method

Abstract

The invention provides a color diagnostic device. The color diagnostic device comprises a data receiving processing unit, a BAYER data recovery unit and a first color diagnostic unit. The data receiving processing unit is used for receiving video image data and a white balance gain value, wherein the white balance gain value is an RGB gain value used in the process of conducting white balance processing on the acquired video image data by monitoring front-end equipment; the BAYER data recovery unit is used for implementing white balance inverse operation on the processed video image data to acquire BAYER data; the first color diagnostic unit is used for determining whether image color abnormity caused by optical faults of the monitoring front-end equipment exists according to the BAYER data. According to the color diagnostic device, the problems that color diagnosis fails to be reported is effectively solved.

Description

technical field [0001] The invention relates to the technical field of video monitoring, in particular to a color diagnosis device and method. Background technique [0002] With the increasing number of surveillance cameras and the aging of equipment, the number of surveillance camera failures also increases. The failure of the surveillance camera will cause the failure or invalidity of important video data, so the failure of the surveillance camera needs to be discovered and eliminated in time. If the method of manual inspection is used, it is time-consuming and laborious. Generally, the video surveillance operation and maintenance system needs to have the function of automatic detection of video faults. Among them, the color diagnosis function is one of the necessary functions for the automatic detection of video faults. [0003] In the existing system, the video images collected by the front-end camera are compressed and encoded into video data by the encoding device of...

AI Technical Summary

Problems solved by technology

However, the above diagnostic method will produce false positives of color diagnosis

[0011] An example of false negatives is as follows: there is an abnormality in the optical device such as the sensor or the infrared filter itself, which causes the value of one or two of the three channels of RGB in the raw data collected in BAYER format to be low, but through the camera’s white After the balance device adjusts the gain of the three components of RGB, the value of the channel with a lower value will be stretched to a normal or close to normal level, but the dynamic range of the image is low, and the image distortion is relatively large. The statistical values ​​of the two channels are similar, so the color abnormality cannot be detected by the existing color diagnosis method, so this situation cannot be detected by the color diagnosis module, and the color diagnosis system produces false positives

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