Image defogging method based on visual optimization of sky region

Abstract

An image defogging method based on visual optimization of a sky region comprises a first step of evaluating the transmission rate of a fog image with the sky region; a second step of guiding and filtering transmission rate of the fog image with the sky region; a third step of recovering the scattering scene of the fog image with the sky region and a fourth step of visually optimizing the sky region of the fog image. The " halo effect " is effectively inhibited, so that the image processing effect is more natural. According to the method, visual perception optimization is carried out on a sky distortion area based on a dark channel prior defogging algorithm, and the transmission rate of the sky region is reevaluated. The sky distortion phenomenon is obviously improved, and a more natural defogging effect is presented.

Description

technical field [0001] The invention relates to a computer image processing method. Background technique [0002] With the development of security technology and the increase of network bandwidth, computer vision systems have been widely used in many fields, such as highways, urban roads, navigation, aerial photography, etc. In recent years, China and other developing countries have often been attacked by severe weather such as smog. In such extreme weather conditions, high-definition cameras will be affected by small solid particles and small droplets in the atmosphere, and the captured images often lose main information. , so that the image acquisition device cannot capture a clear image. This is because the suspended particles will scatter the light, which attenuates the light reflected by the scene, and at the same time, the scattered ambient light is mixed into the light received by the observation, which changes the contrast, color and other characteristics of the ima...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to propose an image defogging method for visual optimization of the sky area, which performs visual perception optimization processing on the image that has been segmented into the sky area, and effectively solves the "halo effect" existing in the dark channel prior defogging algorithm and sky distortion issues, achieving a more natural defogging effect

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