Defogging method and device for sea fog image, computer storage medium and terminal

Abstract

The invention provides a defogging method for sea fog image. The sea fog image defogging method comprises the steps of obtaining a gradient operator graph corresponding to each to-be-processed image;Segmenting the gradient operator graph to obtain a target image; Performing morphological expansion and corrosion operation on the target image to obtain a sky region; Obtaining a sky region sea fog image and a non-sky region sea fog image; Dividing a target area based on quadtree search to obtain a global atmospheric light value; Calculating a medium transmission image according to the sky regionsea fog image and the non-sky region sea fog image; Obtaining a sky area defogging image corresponding to the sky area sea fog image and a non-sky area defogging image corresponding to the non-sky area sea fog image; And obtaining a final defogged image according to the sky region defogged image and the non-sky region defogged image. By applying the embodiment of the invention, defogging is carried out on the foggy image, so that the unmanned ship can obtain a clear image, obstacle avoidance target identification can be carried out through the clear image, and the accuracy of obstacle identification is improved.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a method, device, computer storage medium and terminal for defogging sea fog images. Background technique [0002] The purpose of image defogging is to reduce the interference of fog as much as possible from the image blurred by fog, restore the scene object, enhance the contrast and clarity of the image, restore the details of the image, improve the visibility of the image, and so on. Most of the current defogging algorithms are used in land scenes, especially in traffic monitoring and other occasions, and there are not many defogging algorithms that specialize in special occasions such as sea fog. [0003] Clear scene information can greatly improve the ability of the unmanned vehicle to avoid obstacles, target detection, tracking and recognition. However, vision system image acquisition generally relies on visible light cameras and infrared cameras. For visi...

AI Technical Summary

Problems solved by technology

This type of method does not fundamentally remove the fog, so the effect of removing the fog is not obvious

On the basis of the physical model theory of atmospheric degradation in foggy days, the dehazing method based on dark primary color theory is the most popular, but in the face of sea fog and water surface scenes, this method has inapplicability to the sky area, and the sky part is over-enhanced and distorted and halo effect defects around the edges of the image

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