Haze weather image enhancement method

A technology for weather images and smog, applied in image enhancement, image analysis, image data processing, etc., can solve problems such as halos easily, and achieve the effect of removing smog and haze, with natural colors and visibility

Inactive Publication Date: 2017-08-01
HARBIN UNIV OF SCI & TECH
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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 o

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Embodiment Construction

[0029] The present invention is further described below in conjunction with accompanying drawing:

[0030] like figure 1 Shown is the schematic flow sheet of a kind of haze weather image enhancement method of the present invention, a kind of haze weather image enhancement method comprises the following steps:

[0031] Step A1, convert the original haze weather color image from RGB space to HSV space; Step A2, keep the hue and saturation unchanged, and only filter the brightness to obtain the processed image; Step A3, then convert the image from Convert HSV space to RGB space to obtain RGB space color image; step A4, process the obtained image with Retinex algorithm, divide it into incident component and reflection component; perform gamma transformation on incident component, and perform bilateral filtering on reflection component , to obtain the image after the output; step A5, the image after the output is enhanced with the Sigmoid function,

[0032] The concrete flow proc...

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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...

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T5/003G06T5/002G06T2207/10024G06T2207/20028
Inventor 赵春丽董静薇马晓峰
Owner HARBIN UNIV OF SCI & TECH
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