A low illumination image enhancement method based on foggy day degradation model

A degradation model and image enhancement technology, applied in the field of image processing, it can solve the problems of prone to saturation and darkening of pseudo-fog images, and achieve the effect of improving brightness, avoiding color distortion, and having good visual effects.

Inactive Publication Date: 2019-03-26
FUZHOU UNIV
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Problems solved by technology

When the atmospheric light value is close to 1, the pseudo-fog image after defogging is dark, and it is prone to saturation when it is reversed again.

Method used

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  • A low illumination image enhancement method based on foggy day degradation model
  • A low illumination image enhancement method based on foggy day degradation model
  • A low illumination image enhancement method based on foggy day degradation model

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Embodiment Construction

[0028] The technical solution of the present invention will be specifically described below in conjunction with the accompanying drawings.

[0029] The invention provides a low-illuminance image enhancement method based on a foggy weather degradation model, such as figure 1 As shown, it specifically includes the following steps:

[0030] Step S1, inverting the input low-illuminance image R to obtain a pseudo-fog image I;

[0031] Step S2, seeking the grayscale image I of the pseudo-fog image I gray ;

[0032] Step S3, training the CNN-based transmittance prediction model to obtain the rough transmittance map T of the quasi-fog map I;

[0033] Step S4, the gray scale image I that obtains with step S2 gray Correct T as a guide image to obtain a refined transmittance map T′;

[0034] Step S5, block the quasi-fog map I obtained in step S1, and take the maximum value in the three color channels for each block as the local atmospheric light value to obtain a coarse atmospheric ...

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Abstract

The invention relates to a low illumination image enhancement method based on a foggy day degradation model. Firstly, the low illumination image is inverted to get the pseudo-fog image. Then the transmittance is calculated by convolution neural network and the local atmospheric light value is used instead of the global atmospheric light value. Finally, the non-fog image is restored based on the atmospheric scattering model, and the enhancement result of low illumination image is obtained by reversing the non-fog image. The method of the invention not only effectively improves the brightness ofthe low-illumination image, but also avoids obvious color distortion, over-exposure and other phenomena, and has good image visual effect after enhancement.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a low-illuminance image enhancement method based on a fog degradation model. Background technique [0002] Under traditional low-light conditions such as night or backlight, the visual effect of the collected images is not good, and due to the low contrast, the effective information is significantly reduced, which affects various subsequent analyzes to varying degrees, such as target recognition and tracking, etc., for video surveillance, etc. Many video applications bring a lot of trouble. Image enhancement can adjust some of its features according to the specific scene of a given image, expand the difference between different features in the image, and enhance the features of interest, so as to improve the visual effect of the image and increase the effective information. Therefore, the problem of low-light image enhancement has always been a research hotspot in the f...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
CPCG06T5/002G06T5/003G06T5/009G06T2207/10024G06T2207/20081G06T2207/20084G06T2207/20192G06T2207/30192
Inventor 王秀余春艳徐小丹林晖翔叶鑫焱
Owner FUZHOU UNIV
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