Image haze removal method based on sky area division weighted tv transmittance optimization
A sky area, transmittance technology, applied in image enhancement, image analysis, image data processing, etc., to achieve good visual effects, improve transmittance estimation, and natural color in the sky area.
Inactive Publication Date: 2018-08-21
TIANJIN UNIV
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[0008] Due to different scenes, the medium distribution of the atmosphere will also be different. Therefore, in view of the uneven atmospheric medium, the present invention proposes a new method for image defogging based on sky area division
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[0037] The technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments, and the described specific embodiments are only for explaining the present invention, and are not intended to limit the present invention.
[0038] The existing haze removal algorithms mainly include traditional image enhancement methods and image restoration methods based on physical models. Among them, the method of image restoration based on physical model is to establish a mathematical model of haze image degradation based on the atmospheric scattering theory, and use the inversion process to obtain a clear image close to the real. The fog image imaging model can be expressed as:
[0039] I(x)=J(x)t(x)+(1-t(x))A (1)
[0040] In formula (1), I(x) is the foggy image, J(x) is the clear image, t(x) is the transmittance, and A is the background light intensity.
[0041] The purpose of image dehazing is to reco...
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The invention discloses an image smog removing method based on sky region division and transmissivity optimization of a weighting TV. The method comprises the following steps: as for a smog image which is input, firstly atmosphere light is estimated, the first L rows in the smog image are chosen as a region with the highest smog concentration in the image, the atmosphere light in this region is calculate by adopting a weighting method, transmissivity can be estimated coarsely via boundary constraints, the coarsely estimated transmissivity can be optimized based on the weighting TV, at last a sky region is detected and divided, the transmissivity in the sky region is further optimized so as to obtain the final transmissivity of the smog image, and a clear smog-free image can be obtained by adopting a deformation formula relevant to atmosphere scattering models. The image obtained via the image smog removing method in the invention is advantageous in that visual effects can be improved, and the sky region is natural in color and the like.
Description
technical field [0001] The invention relates to a computer image processing method, in particular to an image defogging method. Background technique [0002] The existence of smog not only causes harm to human health, but also seriously affects the imaging quality of the visual system, resulting in reduced image contrast, dynamic range compression, and blurred details, which directly limit and affect target recognition and tracking, visual surveillance, military investigation, and remote sensing. Systems such as imaging come into play. [0003] The existing haze removal algorithms mainly include methods based on image enhancement and methods based on physical models. Among them, the method based on image enhancement does not consider the formation mechanism of haze images, and aims to enhance image contrast and highlight image detail features. This kind of method is prone to information loss and color distortion in the image after dehazing, and because the physical process...
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IPC IPC(8): G06T5/00
CPCG06T5/003G06T2207/30192
Inventor 杨爱萍杨苏辉刘华平何宇清
Owner TIANJIN UNIV