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Automatic image defogging method based on dark primary colour

An automatic image, dark primary color technology, applied in image enhancement, image data processing, instruments, etc., can solve the problems of high computational cost, manual adjustment, and difficulty in meeting the needs of real-time image processing in changing scenes.

Inactive Publication Date: 2010-07-21
CENT SOUTH UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The core of this method is to obtain an improved foggy image propagation map through the soft matting method, but this step is computationally expensive and requires manual adjustment, so it is difficult to meet the real-time image processing requirements for changing scenes

Method used

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  • Automatic image defogging method based on dark primary colour
  • Automatic image defogging method based on dark primary colour
  • Automatic image defogging method based on dark primary colour

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0064] This embodiment is for grayscale images, according to figure 1 As shown, the defogging process is carried out in the following three steps:

[0065] 1. Obtain the dark primary color image and atmospheric light value of the original fog grayscale image

[0066] The value of each pixel of the dark primary color image of the grayscale image is determined by the following expression:

[0067] J dark ( x , y ) = min ( x ′ , y ′ ) ∈ Ω ( x , y ) ( J ( x ′ ...

Embodiment 2

[0088] for color images Image 6(a) (size is 204*209) for defogging treatment. will first Image 6 (a) On the three color channels of R, G, and B, a template with a size of 7*7 is used for minimum value filtering, and the minimum value of the corresponding pixel points of the three images obtained after filtering is used as the pixel of the corresponding point of the dark primary color image value, get Image 6 The dark channel image of (a) such as Figure 7 shown. And through this dark primary color image to obtain Image 6 The value of atmospheric light A in (a) is 206.

[0089] Then, convert the original fog image to YCbCr color space, extract its brightness component image, perform Retinex transformation on the brightness image according to formula (2), and then carry out inverse color transformation according to formula (3), where the value range of C is 1 to 1.4, and the value in this embodiment is 1.08. Then, the transformed image is subjected to a median filter ...

Embodiment 3

[0092] for color images Figure 9 (a) (size is 835*557) for defogging treatment. will first Figure 9 (a) On the three color channels of R, G, and B, respectively use a template with a size of 21*21 to perform minimum value filtering, and use the minimum value of the corresponding pixel points of the three images obtained after filtering as the pixel of the corresponding point of the dark primary color image value, get Figure 9 The dark channel image of (a) such as Figure 10 shown. And through this dark primary color image to obtain Figure 9 The value of atmospheric light A in (a) is 224.

[0093] Then, convert the original fog image to YCbCr color space, extract its brightness component image, perform Retinex transformation on the brightness image according to formula (2), and then carry out inverse color transformation according to formula (3), where the value range of C is 1 to 1.4, and the value in this embodiment is 1.08. Then, the transformed image is subjected...

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Abstract

The invention discloses an automatic image defogging method based on dark primary color, which is used for solving the problem of information loss because the traditional defogging method highlights details by improving foggy day image contrast. The method provided by the invention comprises: A. calculating the dark primary color of the primary fog images and relevant atmosphere light value; B. according to the luminance component image of the original fog image, calculating a transmission image reflecting local fog concentration in an atmospheric scattering model; and C. determining the defogged primary image according to the fog image, the transmission image and the atmosphere light value in the atmospheric scattering model. Because of being built on the basis of a physical model, the invention can process various fog images in a self-adaption mode; and defogged images have favorable edge details and ideal contrast, and the clarifying effect is superior to the traditional defogging method based on image enhancement.

Description

technical field [0001] The invention belongs to the field of image information processing, and in particular relates to an automatic image defogging method based on dark primary colors. Background technique [0002] Clearing foggy images is a very meaningful problem in the field of computer vision. Dehazing foggy images can improve the visual effect of images, such as most outdoor video work systems, such as video surveillance, terrain survey, automatic driving, etc. , all need to clearly and accurately extract image features, but in foggy conditions, due to the reduced visibility of the scene, the features such as object contrast and color in the image are attenuated, and the system cannot work normally, so it is necessary to eliminate the effect of fog on the scene image in the image influences. [0003] At present, the processing methods for foggy images are mainly divided into two categories: foggy image enhancement methods based on image processing and foggy image rest...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06T5/50
Inventor 蔡自兴郭璠谢斌唐琎
Owner CENT SOUTH UNIV
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