Image haze removal method on basis of self-adaptive illumination calculation

Abstract

The invention discloses an image haze removal method on the basis of self-adaptive illumination calculation and relates to an image processing method. The image haze removal method comprises the following steps of: calculating a bright channel image roughly extracted from a haze image and then carrying out edge information preservation processing to obtain an optimized bright channel image; calculating a dark channel image roughly extracted from the haze image and then carrying out edge information preservation processing to obtain an optimized dark channel image; according to an atmospheric scattering physical model and the obtained bright channel image and dark channel image, deriving a self-adaptive atmospheric lighting and atmospheric transmission coefficient expression; and according to the haze image, atmospheric lighting and an atmospheric transmission coefficient in the atmospheric scattering physical model, carrying out haze removal recovery processing. The bright channel of the image is disclosed for the first time, calculation of the bright channel is carried out on the haze image and the atmospheric lighting expression is derived according to the atmospheric scattering physical model, so that the atmospheric lighting can be self-adaptively calculated. Compared with a conventional haze removal method, the image haze removal method disclosed by the invention has the advantage that a defuzzification effect of the recovered image can be improved.

Description

technical field [0001] The invention relates to an image processing method, in particular to an image defogging method based on adaptive illumination calculation. Background technique [0002] Dehazing a foggy image can improve the visual effect of the image. For example, most outdoor video work systems, such as urban traffic, vehicle assistance systems, video surveillance, etc., require the detection of image features to achieve clear and accurate results, but in In foggy weather, due to the reduced visibility of the scene and the scattering effect of a large number of small water droplets and dust suspended in the atmosphere, the collected images are seriously degraded, which greatly limits and affects the normal operation of the system, so the image is eliminated in real time The fog in the image can make the processed image more clear, so as to meet the needs of practical applications. [0003] The image defogging process is a physical process of studying the degradatio...

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Problems solved by technology

[0002] Dehazing a foggy image can improve the visual effect of the image. For example, most outdoor video work systems, such as urban traffic, vehicle assistance systems, video surveillance, etc., require the detection of image features to achieve clear and accurate results, but in In foggy weather, due to the reduced visibility of the scene and the scattering effect of a large number of small water droplets and dust suspended in the atmosphere, the collected images are seriously degraded, which greatly limits and affects the normal operation of the system, so the image is eliminated in real time In order to make the processed image clearer, it can meet the needs of practical applications

[0003] The image defogging process is a physical process of studying the degradation of foggy images, that is, inverting the degradation process to obtain an undisturbed original image. Among them, Chinese patent 201010139441.1 discloses an automatic image defogging method based on dark primary colors. This method uses The dark channel prior is used to obtain the transmission image, and the multi-scale Retinex is used to obtain the brightness component image. The processing speed is slow, and the lower limit threshold of the transfer function cannot be dynamically adjusted adaptively, and halos exist in the processed sky area.

This method has a certain effect on defogging, but this method estimates the atmospheric illumination using constants, which is not adaptive, and cannot better deal with the impact of illumination on the foggy image itself, which has a certain impact on the quality of the restored image. influences

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