Low-quality image enhancement method under extreme weather conditions

A technology for extreme weather and image enhancement, applied in image enhancement, image analysis, image data processing, etc., to solve problems such as unsatisfactory effects

Active Publication Date: 2016-05-11
SHENYANG POLYTECHNIC UNIV
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  • Low-quality image enhancement method under extreme weather conditions
  • Low-quality image enhancement method under extreme weather conditions
  • Low-quality image enhancement method under extreme weather conditions

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[0077] The specific embodiment: the present invention will be further described below in conjunction with the accompanying drawings: as figure 1 As shown, the present invention provides a low-quality image enhancement method under extreme weather conditions,

[0078] Dark channel prior algorithm for image enhancement:

[0079] In computer vision, the following models are widely used to describe the formation process of haze images:

[0080] I(x)=J(x)t(x)+A(1-t(x))(1)

[0081] Among them, I(x) represents the light intensity of the reflected light reaching the imaging device after attenuation, that is, the observed image with haze, and t(x) represents the medium transmittance, which reflects the ability of light to penetrate the haze. Larger means that more light penetrates the haze and reaches the observation point, J(x) indicates the clear image to be restored, and A is the atmospheric light, which is usually set as a global constant. The purpose of removing haze is to rest...

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Abstract

The invention relates to a low-quality image enhancement method under extreme weather conditions. According to the method, as for an inputted single image, the image is converted to a CIE-Lab color space; a color cast factor D is set; according to experience, if D is smaller than 1.4, the image is a clear image which does not require processing; if D is larger than 1.4, the image is a degraded image; whether the image is a dust image or a haze, rain and snow image is judged according to chrominance component values; if the image is in a haze, rain and snow image, an improved dark primary color priori algorithm is adopted to process the image; if the image is a dust image, a gamma-corrected contrast limited adaptive histogram equalization algorithm is adopted. With the method adopted, problems in the prior art can be well solved. The effects of the method are greatly improved compared with the in the prior art, and the popularization and application of the method can be benefitted.

Description

[0001] Technical field: the present invention provides a low-quality image enhancement method under extreme weather conditions. Background technique [0002] Extreme weather such as smog, dust, rain and snow has brought a certain degree of impact on people's daily life. Images acquired in extreme weather have reduced contrast, blurred details, and serious image degradation. Such images greatly limit the application of machine vision, especially in outdoor, traffic monitoring, target recognition, remote sensing, navigation, etc. [0003] Scholars at home and abroad have done a lot of research on how to improve the clarity of a single degraded image. Tan achieves dehazing by maximizing local contrast, and the enhanced image is often oversaturated; He et al. proposed a single image dehazing method based on the dark channel prior, the image processed by this method is natural, and the dehazing effect is better. The most practical and effective defogging method at present. The ma...

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Application Information

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IPC IPC(8): G06T5/00G06T5/40
CPCG06T5/003G06T5/40G06T2207/20182
Inventor 刘振宇郭莹江海蓉
Owner SHENYANG POLYTECHNIC UNIV
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