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MSRCR traffic image haze removing method combining HE and guide filter

A technology of guided filtering and images, applied in the field of image processing, can solve the problems of loss of details, color distortion, low contrast, etc., and achieve the effect of good image details, good dehazing images, and high efficiency

Inactive Publication Date: 2017-06-13
CHONGQING NORMAL UNIVERSITY
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  • Abstract
  • Description
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AI Technical Summary

Problems solved by technology

Histogram equalization is a relatively mature algorithm, and its implementation is relatively simple. It is often used to enhance contrast. However, haze images have a narrower concentrated unimodal histogram and low contrast. Therefore, histogram equalization can be used to make it Become a form of uniform distribution of the histogram, expand the dynamic range of the image, thereby enhancing the contrast, but this will lose some details
The Retinex algorithm enhances the image, which can significantly improve the details of the dark area, but it will produce whitening, color distortion and low contrast.

Method used

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  • MSRCR traffic image haze removing method combining HE and guide filter
  • MSRCR traffic image haze removing method combining HE and guide filter
  • MSRCR traffic image haze removing method combining HE and guide filter

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Embodiment Construction

[0035] The present invention will be further described below in conjunction with the accompanying drawings. It should be noted that this embodiment is based on the technical solution, and provides detailed implementation and specific operation process, but the protection scope of the present invention is not limited to the present invention. Example.

[0036] Such as figure 1 As shown, a MSRCR traffic image dehaze method combined with HE and guided filtering includes the following steps:

[0037] S1 uses the MSRCR algorithm based on guided filtering to process the original image, namely:

[0038]

[0039] Among them, I(x,y) is the original image, (x,y) is the pixel coordinates of the original image; N is the total number of scales of the filter radius of the guided filter, f n [I(x,y)] is the guided filter function at the nth scale of the original image; ω n is the weight of the result of the nth scale, which satisfies the normalization condition in:

[0040] f n [I(x,...

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Abstract

The invention discloses an MSRCR traffic image haze removing method combining HE and a guide filter. The method comprises the steps of firstly conducting HE and MSRCR enhancement on images separately, wherein MSRCR enhancement replaces a gaussian function estimated illumination component with the guide filter with a smoothing and edge protection function, multi-scale processing is conducted on the guide filter singularly, and then conducting weight fusion on the two enhanced images according to a certain image fusion rule. An experimental result shows that the MSRCR traffic image haze removing method combining HE and the guide filter can obtain an excellent fog removing effect for the haze traffic images, and has the advantages of being high in efficiency, good in color fidelity, obvious in image detail after fog removing and the like.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a haze removal method for MSRCR traffic images combined with HE and guided filtering. Background technique [0002] In recent years, environmental pollution has become increasingly serious, leading to frequent occurrence of smog weather, which seriously affects people's daily life. Haze is a phenomenon in which the visibility of the atmosphere is seriously reduced due to the scattering effect of a large number of tiny water droplets and aerosols suspended in the atmosphere. [1] . In practical applications, such as military technology, transportation, forensics, even meteorology, astronomy, it is often necessary to propose image features from outdoor video sequences. Therefore, image dehazing has become an urgent and practical research topic. The image after dehazing can be widely used in many fields because it looks more pleasing and contains more information. For ex...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T5/40G06T5/50
CPCG06T5/40G06T5/50G06T2207/20028G06T2207/20221G06T5/92G06T5/73
Inventor 杨有崔旭东尚晋余平税靖
Owner CHONGQING NORMAL UNIVERSITY
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