Haze weather image enhancement method

Abstract

The invention discloses a haze weather image enhancement method. The haze weather image enhancement method comprises steps that an original haze weather color image is converted from RGB space to HSV space; filtering processing of brightness V is carried out, and color tone H, saturation S, and the brightness V are synthesized together to acquire an image 1; the image 1 is converted from the HSV space to the RGB space to acquire an RGB space image 2; the image 2 is processed by using a multi-dimensional Retinex algorithm, and the haze weather color image is divided into an incident component L and a reflection component R; the Gamma conversion of the incident component L is carried out, and the double-sided filtering of the reflection component R is carried out, and then an image 3 is acquired; the enhancement processing of the image 3 is carried out by using a Sigmoid function, and a final image 4 is acquired.

Description

technical field [0001] The invention relates to the technical field of image enhancement, in particular to an image enhancement method in haze weather. Background technique [0002] In recent years, due to serious environmental pollution and frequent haze weather, due to the effect of atmospheric scattering in haze weather, the color distortion and contrast of the captured images are also reduced, and the overall quality of the image will also decline, making the intelligent camera system The quality of the extracted image is degraded, and the visual effect of the image is seriously affected. Therefore, it is necessary to enhance the image before output to make it more suitable for the human visual system. [0003] Most of the existing image enhancement methods are carried out in the RGB space, and in the RGB space, if the R, G, and B components are adjusted to different degrees, the proportion of each component will be changed, and the color information of the image will be...

AI Technical Summary

Problems solved by technology

[0004] Moreover, the existing fog image enhancement methods, such as the homomorphic filtering algorithm and the multi-scale Retinex algorithm, are the basic algorithms in image enhancement and have strong applicability, but they also have certain problems. First, homomorphic filtering In the application of the algorithm, since the filtering of the image in the frequency domain is oriented to the entire image, it is inevitable to remove some useful information; secondly, although the multi-scale Retinex algorithm can better maintain the color of the image, it also has certain limitations. sex, prone to halos

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