Hierarchical monitoring video clearness system and method of image quality evaluation and weather status guidance

Abstract

The present invention discloses a hierarchical monitoring video clearness system and method of image quality evaluation and weather status guidance, and belongs to the video processing and analysis technology field. The system of the present invention comprises a video acquisition module, a video conversion module, a video image processing module and a display module. The video acquisition module and the video conversion module acquire the images and convert the images into the digital image frames, and the video image processing module synthesizes the weather condition and the image quality evaluation to determine the image defogging grades, and adopts the corresponding algorithms to defog aiming at the images of different grades. The system of the present invention is simple and intelligent in structure, is easy to realize, and has wide application value in the fields, such as the outdoor video monitoring, etc., and the method of the present invention enables the monitoring video online clearness processing efficiency and quality to be improved greatly, at the same time, can effectively avoid the limit that one defogging algorithm can not satisfy the degradation of the videos of different types.

Description

technical field [0001] The present invention relates to the technical field of video processing and analysis, and more specifically, relates to a system and method for hierarchical surveillance video clearing based on image quality evaluation and weather condition guidance. The present invention aims at different weather conditions and according to the image quality evaluation results, Classify and grade the video, and automatically select the corresponding sharpening algorithm for real-time video defogging. Background technique [0002] Due to environmental pollution, regional climate and other reasons, smoggy weather is becoming more and more common across the country, especially in cities. The quality of surveillance video will be severely degraded under such weather conditions. Videos captured under severe weather conditions such as fog, haze, and rain are characterized by low contrast, narrow dynamic range, dull and low-saturation colors, and even color shifts. This d...

AI Technical Summary

Problems solved by technology

[0009] In view of the different quality of video images under different weather conditions, the general defogging algorithm cannot meet the problems of different types of video degradation. It can perform real-time clear processing of videos captured in fog, rain and other weathers. The operation is simple, easy to implement, and can make the results of each processing of surveillance video images ideal.

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