Image/video demisting method based on combination of dark primary color of atmospheric scattered light

Abstract

The invention discloses an image / video demisting method based on the combination of a dark primary color and atmospheric scattered light. The method comprises the following specific steps of: 1, inputting an original misty image I into an image processing system of a computer, and acquiring a dark primary color image Idark of the original misty image I; 2, according to the obtained dark primary color image Idark, evaluating the atmospheric light values A, i.e. airR, airG and airB of red, green and blue (RGB) channels of the original image; 3, evaluating the atmospheric scattered light value V (x,y) of the original misty image I; and 4, evaluating a demisted restored image J according to images of the RGB channels of the original misty image I, the atmospheric light values A and the atmospheric scattered light value V to obtain a demisted restored image J finally. According to the image / video demisting method based on the combination of the dark primary color and atmospheric scattered light, a clear demisted image is obtained by calculating the dark primary color image of the original image and restoring the original image with the atmospheric light values and the atmospheric scattered light value.

Description

technical field [0001] The invention belongs to the technical field of image processing and enhancement, and relates to an image / video defogging method based on dark primary colors combined with atmospheric scattered light. Background technique [0002] Foggy image clarity is a very meaningful problem. Under low light conditions such as foggy days, rainy days, and nights, the collected images have low contrast and poor visibility. Such as: intelligent traffic monitoring, terrain survey and other situations that need to monitor the field of view. In foggy conditions, due to the low visibility of the scene, the contrast and color features of the target in the image are attenuated, causing the system to fail to work normally. Therefore, it is necessary to Eliminates the effect of fog on the scene image in the image. [0003] At present, the main image defogging processing methods can be divided into the following two categories: [0004] The first category is conventional ima...

AI Technical Summary

Problems solved by technology

This type of algorithm does not consider the influence of the foggy atmosphere on the image

[0005] The second category is the method based on the physical model of atmospheric degradation. This method needs to obtain additional information. For example, some methods need to use a dedicated calibrated radar device to obtain depth information, and then use the image data and depth information to calculate the physical model. parameters, and then bring the parameters into the degradation model to obtain the estimated image; some methods need to obtain images of the same scene under two different weathers in order to obtain depth information, these requirements are not easy to achieve

[0006] Some of the existing defogging technologies have specific requirements for the input image, and some methods require user interaction, which is difficult to meet in real-time image processing applications. Some images use single-frame images as input, but there are images after restoration. The problem of color distortion occurs, does not meet the requirements of defogging, and some processing speeds are too slow to be applied to real-time systems

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