Optimal Fog Image Restoration Method Based on Artificial Fog

Abstract

The invention discloses an optimal fog image recovery method based on artificial fog addition. The optimal fog image recovery method comprises the following steps: (1) acquiring a fog-free image with a camera; (2) initializing population particles; (3) generating an individual optimal position and a global optimal position; (4) updating population particles; (5) partitioning the fog-free image; (6) calculating the depth of a gray level image matrix of the fog-free image; (7) calculating the transmissivity of the gray level image matrix of the fog-free image; (8) establishing a fog image obtained after fog is artificially added to the fog-free image; (9) acquiring an image of which the fog is removed; (10) acquiring an evaluation index value; (11) acquiring an optimal fog removing algorithm; (12) acquiring a fog-removed image of outdoor monitoring equipment. Due to adoption of full-reference image quality evaluation indexes, the optimal fog image recovery method has the advantages of objectiveness and completeness, and can be applied to outdoor monitoring equipment.

Description

technical field [0001] The invention belongs to the field of electrical technology, and further relates to an optimal fog map restoration method based on artificial fogging in the field of image communication technology. The present invention can be used for outdoor monitoring equipment in foggy weather, artificially adds fog to the fog-free image, obtains the best fog-removing algorithm, and thus obtains the best fog image restoration image. Background technique [0002] In the case of fog, due to the reduced visibility of the scene, the contrast and color of the target in the image are doubled and attenuated, resulting in the failure of the outdoor video system to work normally. Therefore, it is necessary to eliminate the influence of fog on the scene image in the image. There are many kinds of image defogging methods used in outdoor video systems. It is an urgent problem to choose the best defogging algorithm for defogging. At present, the quality of defogging effect main...

AI Technical Summary

Problems solved by technology

Although this method is simple and fast, the disadvantage is that it cannot combine the depth information of the scene and the foggy image to form a model, so that the foggy image cannot be constructed objectively.

However, the deficiencies of this patented technology still exist: for foggy images, due to the interference of fog, the detailed information of the image has been partially lost, the amount of image information after restoration is less, and the evaluation results of the restored image are not true and accurate enough.

However, the deficiencies of this patented technology still exist: the image evaluation index is single, and it cannot fully reflect the similarity between the image after defogging and the image before defogging

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