Low-illumination scene intelligent road monitoring rapid defogging method and device and electronic equipment

Abstract

The invention discloses a low-illumination scene intelligent road monitoring rapid defogging method and device and electronic equipment, and the method comprises the steps: S1, designing a dark primary color adjustment model based on light intensity and color concentration through employing an HSI color space, and calibrating a dark primary color; s2, introducing a local luminous flux proportion of the scene, and calculating local ambient light; s3, calculating the transmittance of the monitoring scene according to S1 and S2; and S4, in combination with the transmissivity and the local ambient light, parallel computing is designed, and a road traffic monitoring scene is restored. According to the method, the accuracy of the transmissivity is improved by calibrating the dark primary color; by introducing the luminous flux proportion, the ambient light of the monitored scene is restrained, and the brightness of the restored scene is improved. In addition, due to the fact that the method is low in calculation complexity and high in parallelization degree, efficient and rapid defogging of the monitoring scene can be achieved. Therefore, a technical guarantee is provided for the intelligent road monitoring system to obtain real-time road conditions and implement intelligent monitoring in a low-illumination foggy environment.

Description

technical field [0001] The invention relates to the technical field of image processing, and in particular to a method, device and electronic device for fast dehazing for intelligent highway monitoring in low-illuminance monitoring scenes. Background technique [0002] Road monitoring is a visual window for the "smart highway" system to obtain real-time image data, predict traffic risks, resolve traffic hazards, and ensure vehicle safety and smooth road surfaces. However, when the monitoring scene is in the fog, haze, smoke, and dust environment, it is difficult for the system to accurately capture the data. If there is a traffic accident, it is very easy to cause traffic accidents. Therefore, removing the interference of fog, haze, smoke and dust and restoring the real monitoring scene is of great value in the "smart highway" system. Existing image dehazing technologies include dehazing algorithms based on image enhancement, dehazing algorithms based on atmospheric light s...

AI Technical Summary

Problems solved by technology

[0003] Purpose of the invention: Aiming at the obvious brightness loss problem existing in the existing defogging technology, the present invention provides a fast defogging method that can quickly and effectively defog and ensure stable scene brightness, so as to deal with the "wisdom" in low-light environment. Fog, haze, smoke, and dust interference in the monitoring scene of "highway"

Images