Image defogging method based on adversarial network and multi-scale dense feature fusion

Abstract

The invention discloses an image defogging method based on an adversarial network and multi-scale dense feature fusion, and belongs to the technical field of image processing, and the defogging method comprises the following specific steps: (1) constructing an adversarial generative network for image defogging conditions; (2) training the network to convergence by using a public image defogging data set; and (3) taking the trained generator network as an image defogging network, inputting a foggy image and outputting a defogged image. According to the method, a residual dense block and a dense feature fusion module based on a back projection technology are introduced into a generator network, local feature fusion and multi-scale dense feature fusion are respectively carried out by using the residual dense block and the dense feature fusion module, and clearer images are gradually obtained by effectively fusing features of different levels,; therefore, image defogging is more natural, and noise elimination is facilitated.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an image defogging method based on confrontation network and multi-scale dense feature fusion. Background technique [0002] After searching, Chinese Patent No. CN102930514A discloses a fast image defogging method based on the atmospheric physical scattering model. Although the invention can perform image defogging through the atmospheric physical scattering model, the defogging is unnatural and has noise; in recent years, China's urban The fog and haze in the weather is gradually increasing, and the intensity of the light emitted by the scene will be attenuated when it passes through the haze and reaches the photosensitive element of the camera. In addition, the light scattering effect of the haze on the light will greatly affect the imaging effect of the camera. Based on image analysis Advanced computer vision technology has been widely used in the fields of military d...

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Problems solved by technology

[0002] After searching, Chinese Patent No. CN102930514A discloses a fast image defogging method based on the atmospheric physical scattering model. Although the invention can perform image defogging through the atmospheric physical scattering model, the defogging is unnatural and has noise; in recent years, China's urban The fog and haze in the weather is gradually increasing, and the intensity of the light emitted by the scene will be attenuated when it passes through the haze and reaches the photosensitive element of the camera. In addition, the light scattering effect of the haze on the light will greatly affect the imaging effect of the camera. Based on image analysis Advanced computer vision technology has been widely used in the fields of military defense, artificial intelligence, and automatic control. Therefore, effective image defogging technology is required as a pre-processing process for computer vision applications to reduce or eliminate the impact of haze. In the haze image imaging model adopted, the atmospheric light intensity, the transmittance of the scene, and the image to be restored a

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