Method for enhancing low-light video image based on space-time accumulation and image degradation model

A video image and degradation model technology, applied in the field of computer vision, can solve the problems of poor defogging effect of false fog images, affecting the effect of image enhancement, and inaccurate transmittance, etc., to eliminate white sideband phenomenon, improve speed, Transmittance Accurate Effect

Inactive Publication Date: 2017-01-11
HUNAN VISION SPLEND PHOTOELECTRIC TECH
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Problems solved by technology

However, traditional image enhancement methods based on image degradation model-based dehazing technology do not take into account the fact that the concentration of "fog" in the false fog image is determined by the illumination rather than the depth of field, so the calculated transmittance is not accurate enough, and leads to false The dehazing effect of the fog image is not good, which in turn affects the effect of image enhancement

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  • Method for enhancing low-light video image based on space-time accumulation and image degradation model
  • Method for enhancing low-light video image based on space-time accumulation and image degradation model
  • Method for enhancing low-light video image based on space-time accumulation and image degradation model

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[0043] Taking low-illuminance images as an example, the present invention will be further described in detail in conjunction with the accompanying drawings.

[0044] The low-illumination image caused by insufficient light is reversed to obtain the reversed image I r, as shown in formula (1). The inverted image is visually very similar to the daytime foggy image, so the image degradation model that causes the foggy image can be applied to the low-light image enhancement method, and the inverted image at this time can be called a pseudo-foggy image. McCartney proposed an atmospheric scattering model, that is, an image degradation model in foggy days, as shown in formula (2).

[0045] I r (x)=255-I(x) (1)

[0046] Wherein, x is the coordinate point of the image; C is the three color channels of RGB of the image; I(x) is a low-light image; I r (x) is the inverted image, that is, the pseudo-fog image.

[0047] R(x)=J(x)t(x)+A(1-t(x)) (2)

[0048] Among them, R(x) is the foggy...

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Abstract

The invention discloses a method for enhancing low-light video image based on a space-time accumulation and image degradation model, which relates to the vision field of a computer. The method comprises the steps of 1, conducting noise reduction treatment to the low-light video image by using time-space domain accumulation information, 2, conducting reverse operation to the low-light video image after the noise reduction treatment to obtain false fog image, obtaining dark channel image after sub-sampling the false fog image,obtaining the complete dark channel image of the false fog image by using the interpolation method, thus, estimating atmospheric light value A of the false fog image by dark channel prior rule, 3, estimating the transmissivity by the luminance component based on the false fog image, 4, optimizing the transmissivity by filtering method to obtain accurate and smooth transmissivity, 5, obtaining the defogging image according to the atmospheric light value A and optimized transmissivity, reversing the defogging image of the false fog image to obtain the enhancement image of low-light image, and 6, conducting unsharp sheltering sharpening treatment to the enhanced image.

Description

technical field [0001] The invention relates to the field of computer vision, in particular to a low-illuminance video image enhancement method based on time-space accumulation and image degradation models. Background technique [0002] With the continuous development of image processing technology, digital surveillance systems such as video surveillance, intelligent traffic systems, and moving target recognition and tracking have been widely used. However, the images acquired under low illumination conditions not only have low contrast, but also have distorted colors and difficult to distinguish the details of the image. The reduced image quality caused by the low-light environment not only affects the recognition of the image by the human eye, but also causes the computer vision system to fail to operate normally. The purpose of image enhancement is to highlight the information of the image, enhance useful information, and improve the visual effect of the image. Applying ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
CPCG06T5/00G06T5/001G06T5/003G06T2207/20028
Inventor 陈蓉马昊辰
Owner HUNAN VISION SPLEND PHOTOELECTRIC TECH
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