Method for defogging foggy image in real scene based on fog migration and feature aggregation

Abstract

The invention relates to a defogging method for a foggy image in a real scene based on fog migration and feature aggregation, and belongs to the field of image processing. The invention designs a method for realizing image defogging by migrating fog in a foggy image in a real scene to a clear image to generate a data set and then utilizing a defogging network based on feature aggregation. In a fog migration process, a multi-level feature block identification method is designed to migrate fog in a real scene to a clear image to generate a foggy image training data set, and the image in the data set has a style similar to that of a foggy image in the real foggy scene and distribution characteristics of fog in the foggy image. In addition, extraction features are supplemented in a fine-grained detail information and semantic information aggregation mode so as to realize image defogging. According to the method, a good defogging effect is achieved on the foggy image in a real scene, and the problem that a defogging model trained by a synthetic data set is poor in generalization performance on the real foggy image is greatly solved.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a fog image defogging method in a real scene based on fog migration and feature aggregation. Background technique [0002] Image defogging is an image processing technique used to improve image quality. High-quality image quality can play a good auxiliary role in high-level computer vision tasks such as image recognition and classification, semantic segmentation, and object detection. In image defogging, researchers consider the imaging principle of fog—the main reason for image quality degradation is that the light reflected by the target object is absorbed and scattered by the suspended particles in the atmosphere, which attenuates the light reflected by the object. Ambient light such as sunlight is scattered by the scattering medium in the atmosphere to form background light, and the intensity of this part of background light is greater than the light reflected by the target ob...

AI Technical Summary

Problems solved by technology

[0005] The present invention provides a method for defogging foggy images in real scenes based on fog migration and feature aggregation. This method is obtained on foggy images in real scenes. To a certain extent, it overcomes the problem of poor generalization performance on the real foggy image domain after training the defogging model with synthetic public data sets.

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