Dark channel prior defogging method based on low complexity MF

A dark channel prior and low-complexity technology, applied in the field of dark channel prior dehazing, can solve the problems of low image processing accuracy and weakened image visibility, so as to improve visibility, remove haze noise, improve The effect of processing precision

Pending Publication Date: 2020-08-21
GUILIN UNIV OF ELECTRONIC TECH
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Problems solved by technology

[0003] The object of the present invention is to provide a dark channel prior defogging method based on low-complexity MF, a...

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  • Dark channel prior defogging method based on low complexity MF
  • Dark channel prior defogging method based on low complexity MF
  • Dark channel prior defogging method based on low complexity MF

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[0033] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein like or similar reference numerals designate like or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0034] People's livelihood and industrial fields such as highway traffic, maritime shipping, and aircraft aerial photography may be affected by fog and haze. The contrast information of the captured images usually cannot support the sensory needs of machine vision applications and human eyes. In recent years, many dehazing methods are based on traditional image enhancement techniques, fusion strategy dehazing or polarization characteristic dehazing. For defogging in the physical sense, the low-complexity MF-based dark channel prior defog...

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Abstract

The invention discloses a dark channel prior defogging method based on low-complexity MF, and the method comprises the steps: calculating a dark channel value of an atomized image, and obtaining a dark channel graph; estimating a global atmospheric light value of the atomized image; estimating the transmissivity of the atomized image; correcting the transmittance based on the threshold; and recovering the atomized image into a defogged image. MF with low complexity is used to calculate the dark channel value of each pixel point of the atomized image, so that haze noise in the image can be effectively removed, and the complexity of a defogging algorithm can be reduced to a certain extent; the mean value of the light intensity values of the positions of 0.1% of pixel points in front of the brightness in the original atomized image is taken as a global atmospheric light value, so that the restored defogged image can be restored to be closer to a real image. Therefore, the processing precision of the atomized image is improved, and the visibility of the captured image is further improved.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a low-complexity MF-based dark channel prior defogging method. Background technique [0002] High-definition cameras are subject to the influence of turbid media (such as hydrosol, fog, haze, etc.) on the absorption, scattering, and refraction of reflected light in bad weather, which reduces the imaging accuracy of the optical sensor, which directly leads to the weakened visibility of the captured images. . Although the infrared camera can alleviate this kind of blurring problem to a certain extent, the infrared image does not have rich color information, and its high cost and cumbersome maintenance and installation also restrict the application range of the infrared camera. Urgent research is needed. Contents of the invention [0003] The object of the present invention is to provide a low-complexity MF-based dark channel prior defogging method, aiming at solving th...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06T7/90
CPCG06T5/003G06T5/002G06T7/90G06T5/007G06T2207/10024
Inventor 孙希延陶堃纪元法黄建华严素清付文涛李有明李晶晶
Owner GUILIN UNIV OF ELECTRONIC TECH
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