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Remote sensing image de-fogging method based on dark channel prior model

A dark channel prior and remote sensing image technology, which is applied in the field of remote sensing image defogging based on the dark channel prior model, can solve the problems of long transmittance calculation processing time, algorithm can not achieve real-time defogging, etc., to reduce color cast Phenomena, reducing computational complexity, and improving the effect of brightness

Inactive Publication Date: 2017-03-22
CHONGQING UNIV OF POSTS & TELECOMM +1
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Problems solved by technology

The accuracy of the transmittance map obtained by the traditional dark channel prior-based dehazing algorithm is higher than that of other algorithms, but the processing time for calculating the transmittance is too long, which makes the algorithm unable to achieve real-time defogging

Method used

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  • Remote sensing image de-fogging method based on dark channel prior model

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Embodiment Construction

[0041] The technical solutions in the embodiments of the present invention will be described clearly and in detail below with reference to the drawings in the embodiments of the present invention. The described embodiments are only some of the embodiments of the invention.

[0042] Technical scheme of the present invention is as follows:

[0043] Such as Figure 1 to Figure 4 Shown:

[0044] Step 1: Obtain the foggy color image I(x,y);

[0045] The degradation process of fog on the image is:

[0046] I(x,y)=J(x,y)t(x,y)+A(1-t(x,y)) (5)

[0047] In the formula, A is the global atmospheric light intensity, J(x,y) is the recovered haze-free image, I(x,y) is the image to be dehazed, and t(x,y) is the medium transmittance, which is called the transmittance or a transmission graph, which is defined as:

[0048] t(x,y)=e -βd(i,j) (6)

[0049] In the formula, d(i, j) is the distance from the scene point to the observation point, and β is the scattering coefficient of the atmo...

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Abstract

The invention provides a remote sensing image de-fogging method based on a dark channel prior model and belongs to the technical field of image processing. Based on the idea of the traditional dark channel prior model de-fogging method, the invention provides the unmanned aerial vehicle image de-fogging method based on the dark channel prior model. By use of a downsampling method and an interpolation algorithm, calculation of transmissivity of the dark channel prior model is improved, and calculation complexity is greatly reduced. De-fogging processing is performed on quite white regions in the image, and a fog-free image recovering method combining the allowance mechanism based on an atmospheric scattering model is adopted, so the color rendition phenomenon is reduced. Finally, image enhancement processing is performed on a de-fogged image by use of the automatic color gradation algorithm, so brightness of the de-fogged image is increased, and high-quality de-fogging effects of the image are achieved. The unmanned aerial vehicle image de-fogging method is compatible with image de-fogging precision and efficiency, and is highly practical in unmanned aerial vehicle image de-fogging processing.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a remote sensing image defogging method based on a dark channel prior model. Background technique [0002] For now, image defogging is to improve the contrast of the foggy image, change the saturation and brightness of the image, increase the information contained in the image, and restore the image by processing the image taken under fog, haze and other weather conditions. haze-free image. At present, image defogging technology has gradually become a research hotspot, and it is widely used in computer image processing, underwater shooting, outdoor video monitoring, remote sensing image processing and other fields. [0003] Image defogging methods are mainly divided into two types: the method based on image enhancement and the method based on atmospheric scattering model. The method of dehazing based on image enhancement mainly improves the visual effect of the image b...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
CPCG06T2207/10032G06T2207/10024G06T5/73
Inventor 李校林王屈桥吴翠先
Owner CHONGQING UNIV OF POSTS & TELECOMM
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