A visibility solving method based on video image gradient factor and dark channel

By using a visibility calculation method based on video image gradient factors and dark channels, the instability of existing models caused by seasonal and light variations is solved, achieving high-precision monitoring of low visibility, which is suitable for traffic management.

CN116757945BActive Publication Date: 2026-07-21NANJING UNIV OF INFORMATION SCI & TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
NANJING UNIV OF INFORMATION SCI & TECH
Filing Date
2023-06-09
Publication Date
2026-07-21

AI Technical Summary

Technical Problem

Existing visibility calculation methods have low accuracy under factors such as seasonal changes, light intensity, and scene changes, resulting in model instability and making it difficult to achieve high-precision monitoring in low visibility conditions.

Method used

A visibility calculation method based on video image gradient factor and dark channel is adopted. By obtaining the sum of the dark channel and brightness image gradients of multiple images, the gradient ratio is calculated. The visibility is determined by combining the prior visibility with the gradient ratio.

Benefits of technology

Under different lighting and scene conditions, the model accuracy is improved, the visibility calculation results are stable, and the error is controlled within ±20%, making it suitable for actual traffic management.

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Abstract

The application discloses a kind of based on video image gradient factor and dark channel's visibility solution method of image data information extraction technical field, comprising the following steps: first, obtaining the visibility data of a plurality of images and visibility instrument observation of low-visibility weather process;Obtain the luminance image of each image;Respectively, the gradient sum of dark channel image and luminance image is obtained, and the gradient ratio is obtained;The visibility is obtained by prior visibility and gradient ratio.The model used in the method of the application is simple, and has strong universality, can effectively control the instability of model caused by the change of season and light, the change of grass color, shape and image contrast, and also has certain suppression to the case that short side controls long side caused by relatively shallow scene.
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