Improved Retinex image defogging method

An image and haze technology, applied in the field of improved Retinex image dehazing, can solve the problem that the dehazing result is not very ideal, and achieve the effect of improved dehazing effect, fast running speed, and clear distant scenery.

Inactive Publication Date: 2017-02-22
SOUTH CHINA UNIV OF TECH +1
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Problems solved by technology

However, when the traditional Retinex algorithm is directly applied to image dehazing, although it still maintains its color constant characteristics, the dehazing result is not very ideal.

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  • Improved Retinex image defogging method

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[0035] The present invention will be further described below in conjunction with the accompanying drawings, but the implementation and protection of the present invention are not limited thereto. realized or understood.

[0036] Such as figure 1 As shown, the steps of this improved Retinex image defogging method are as follows:

[0037] Step 1: Input the haze image, according to the formula I(x,y)=R(x,y)L(x,y)+n(x,y), we should first estimate n(x,y) and In addition, since n(x,y) is caused by direct imaging of atmospheric light, its transformation is smooth and belongs to the low-frequency part. Here we use Gaussian filtering to estimate n(x,y).

[0038] Step 2: Subtract the estimated n(x,y) from the original image, and normalize the obtained value to obtain an intermediate result.

[0039] Step 3: According to the single-scale Retinex algorithm R(x,y)=log(I(x,y))-log(F(x,y)*I(x,y)), perform Gaussian filtering on the intermediate results and estimate The illuminance compone...

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Abstract

The invention discloses an improved Retinex image defogging method. The method comprises the following steps of: inputting a haze image, estimating n(x,y) firstly and removing n(x,y) according to a new expression formula, wherein n(x,y) is estimated by use of gaussian filter because n(x,y) is caused by direct imaging of airglow, transforms slowly and belongs to a low frequency part; subtracting the estimated n(x,y) from an original drawing, normalizing the obtained values, and acquiring an intermediate result; carrying out gaussian filter on the intermediate result according to a single-scale Retinex algorithm, estimating an illumination component, and removing the estimated illumination component L(x,y) from the intermediate result in a Log domain; and carrying out automatic color gradation processing on the obtained result, eliminating an overexposure phenomenon in the result, and outputting the processed result. According to the improved Retinex image defogging method, the defogging effect is greatly improved, the distant scenery becomes clear, detail parts become obvious, the running speed is rapid and the real-time requirement can be satisfied.

Description

technical field [0001] The invention relates to a foggy image clearing method, in particular to an improved Retinex image defogging method. Background technique [0002] In the case of foggy weather, the imaging equipment is affected by the scattering and absorption of atmospheric suspended particles and the participation of atmospheric light in imaging. For the normal work of the visual system, image defogging is a top priority. [0003] At present, there are two main categories of mainstream single-image defogging algorithms. One is the dehazing algorithm based on image enhancement. This algorithm does not consider the imaging principle of the image. Highlight the details of the image to improve the visual effect of the final image and meet the needs of production and life. The other is a dehazing algorithm based on image restoration. This algorithm is based on the atmospheric scattering model and restores a haze-free image through some auxiliary information or prior law...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
CPCG06T5/003G06T2207/10004G06T2207/20172G06T2207/20224
Inventor 葛鹏冠灵梅单译琳王洪
Owner SOUTH CHINA UNIV OF TECH
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