Image defogging method and device

Abstract

The embodiment of the invention discloses an image defogging method and device. Based on a atmospheric scattering model, the method comprises the steps of determining a rough dark channel image formed by a minimum gray level channel value of each pixel point in an target image; image processing the obtained rough dark channel image by adopting a gaussian pyramid and a median filter in sequence, so as to obtain an image; removing smooth local standard deviation Idetail(x), corresponding to the image, from the image, so as to obtain an image Is(x) subjected to detail removal; determining a target dark channel image Id(x); according to the determined target dark channel image Id(x) and a preset second regulation parameter omega (omega is greater than 0 and less than 1), determining a transmission function t(x); according to the atmospheric scattering model, defogging the target image by using a determined atmospheric light value A and the transmission function t(x). Compared with a soft matting method, a calculation method adopted by the steps is simple in operation, so image defogging time is greatly shortened by a contrast experiment, and realtime defogging on an image in a foggy day can be performed.

Description

technical field [0001] The invention relates to the field of image processing, in particular to an image defogging method and device. Background technique [0002] Under the influence of foggy weather, the images (pictures, videos) acquired by the image acquisition equipment often have degradation phenomena such as blurring and weakening contrast. If they are directly applied to the computer vision system, it will inevitably affect the robustness and accuracy of the system. Negative Effects. Therefore, it is necessary to use the image defogging algorithm to dehaze and enhance the foggy image. [0003] In the prior art, the atmospheric scattering model is usually used to dehaze the image according to the prior information rules of the foggy image. A typical method is the He method based on dark channel prior information. This method mainly selects a scale parameter to calculate the minimum value of each component of the pixel in the corresponding scale window in the color ...

AI Technical Summary

Problems solved by technology

This method mainly selects a scale parameter to calculate the minimum value of each component of the pixel in the corresponding scale window in the color image, and uses this value as the dark channel prior information, and then estimates the depth information of the scene through the dark channel prior information, and the depth information Combine the atmospheric scattering model to estimate the transmittance of the scene, then optimize it through the soft matting method, and finally perform the image defogging process according to the optimized transmittance and the estimated atmospheric light intensity A; because the soft matting method is relatively complicated , the processing time is very long, and it is difficult to achieve real-time dehazing processing of foggy images

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