Flexible defogging method based on dark channel improvement and image fusion

An image fusion, dark channel technology, applied in image enhancement, image data processing, instruments, etc., can solve the problems of distortion of restoration results, decrease of overall intensity value, affecting the visual effect of images, etc., to improve image color distortion and balance image color. , enhance the effect of color

Inactive Publication Date: 2018-11-06
NANJING UNIV OF SCI & TECH
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Problems solved by technology

However, since the algorithm is based on the dark primary color prior, for bright areas such as the sky and white clouds where there is no dark primary color, the restoration result will be obviously distorted, which will affect the visual effect of the image.
In addition, because the light of the scene is no longer as bright as the atmospheric light, the overall intensity value of the image after dehazing will decrease to a certain extent. darker

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  • Flexible defogging method based on dark channel improvement and image fusion
  • Flexible defogging method based on dark channel improvement and image fusion
  • Flexible defogging method based on dark channel improvement and image fusion

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Embodiment 1

[0050] combine figure 1 , figure 2 and image 3 , a flexible defogging method based on improved dark channel and image fusion, the steps are as follows:

[0051] Step 1. Obtain the foggy image I(x,y), whose length and width are m and n respectively, traverse and calculate the minimum value in the three channels of R, G, and B for each pixel, and then use the minimum value filter, and the filter radius is Obtain the dark channel map of the foggy image I(x,y). The specific calculation formula is as follows:

[0052] I dark (x, y) = min (i，j)∈Ω(x，y) (min c∈{r，g，b} I c (i,j)),

[0053] Among them, Ω(x, y) is a square area centered on the (x, y) pixel and whose side length is 3% of the total pixel value of the input image;

[0054] Step 2: Select the top 0.1% pixel with the highest brightness in the dark channel image obtained in step 1, map its coordinates to the input image I(x,y), and then select the value of the pixel with the highest brightness among the mapped pixe...

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Abstract

The invention discloses a flexible defogging method based on dark channel improvement and image fusion. The method comprises the steps that 1, a dark channel graph of a foggy image I(x,y) is calculated; 2, first 0.1% of pixels with maximum brightness are selected in the dark channel graph, and then corresponding maximum brightness values of the pixels in I(x,y) are selected to serve as estimated values of atmosphere light A; 3, rough transmittance of I(x,y) is calculated; 4, box-oriented filtering is used to refine the rough transmittance; 5, the refined transmittance is corrected based on a quadratic function; 6, object light is restored, and a preliminary defogged image is obtained; 7, a pseudo-defogged image of I(x,y) is calculated; and 8, the preliminary defogged image and the pseudo-defogged image are fused to obtain a final defogged image. The method has the advantages that calculation speed is high, and the distortion phenomenon of the defogged image in an adjacent sky region isrelieved; and through weight-adaptive image fusion, the defogging effect and image colors are well balanced, and the phenomenon that the defogged image is dark in color is relieved.

Description

technical field [0001] The invention belongs to the technical field of digital image processing, in particular to a flexible defogging method based on improved dark channel and image fusion. Background technique [0002] The haze formed by substances such as smoke and dust suspended in the atmosphere will have a great impact on personal outdoor photography and computer vision applications. Therefore, how to achieve high-quality image defogging has very important practical significance for image processing and computer vision applications. At present, image dehazing has been widely researched and applied. [0003] The general-purpose dehazing methods based on the atmospheric scattering model can be roughly divided into two categories: multi-image dehazing and single-image dehazing. Multiple image defogging methods often use multiple images of the same scene under different weather conditions or multiple images with different polarization degrees to obtain multiple reference...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T5/50
CPCG06T5/003G06T5/50
Inventor 种衍杰王林沙涛
Owner NANJING UNIV OF SCI & TECH
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