Rapid defog algorithm based on image fusion

Abstract

Aiming at a specific image defogging problem, and in order to improve the accuracy and the reduction degree of a defogging algorithm to enable the defogging algorithm to satisfy the real-time demands, the present invention provides a rapid defog algorithm based on image fusion. The rapid defog algorithm based on image fusion comprises the steps of firstly estimating the sky light intensity based on a physical model; then roughly estimating the fog concentration according to the physical characteristics of the foggy weather imaging, distributing the weight by calculating the local variance of an image, utilizing a weighting fusion thought to obtain a more accurate atmosphere dissipation function, and calculating a more accurate scene transmissivity; finally, under the framework of an atmosphere scattering model, carrying out the defogging processing on the image by utilizing the obtained atmosphere dissipation function and the sky light intensity to obtain a clear fogless image. According to the algorithm of the present invention, the weight is distributed by calculating the local variance, and finally the accurate atmosphere dissipation function is calculated by utilizing a weighting fusion method, thereby improving the image defogging effect greatly.

Description

technical field [0001] The invention relates to the field of computer vision, in particular to a fast defogging algorithm based on image fusion. Background technique [0002] Most outdoor vision systems, such as video surveillance, target recognition and satellite remote sensing monitoring, need to obtain clear image features. However, under foggy weather conditions, due to the low visibility of the scene, the contrast of the image is reduced, and the target is blurred, so that the imaging system cannot work normally. Therefore, it is of great research value to study how to effectively process fog images and reduce the impact of weather conditions on imaging systems. [0003] In recent years, single image dehazing has become a research hotspot in the field of computer vision because it does not require auxiliary information such as depth of field and atmospheric conditions, and has a wide range of applications. Many scholars have proposed a variety of single image defoggin...

AI Technical Summary

Problems solved by technology

This method essentially uses the atmospheric scattering model, but does not accurately estimate the atmospheric light intensity value, the final overall effect is dark, and the introduction of median filtering can easily cause edge residual fog

Yu et al. performed white balance on atmospheric illumination, estimated the atmospheric dissipation function using fast bilateral filtering, and solved the simplified atmospheric scattering model to achieve image defogging. However, the recovery effect of this method on white objects is not ideal.

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