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

A feature fusion, multi-scale technology, applied in the field of image processing, can solve problems such as noise, high-level semantic information is difficult to encode low-level features, and image dehazing is unnatural, so as to eliminate noise, avoid loss of spatial information, and improve image dehazing. natural effect

A feature fusion, multi-scale technology, applied in the field of image processing, can solve problems such as noise, high-level semantic information is difficult to encode low-level features, and image dehazing is unnatural, so as to eliminate noise, avoid loss of spatial information, and improve image dehazing. natural effect

CN112950498APending Publication Date: 2021-06-11苏州加乘科技有限公司
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  • Image defogging method based on adversarial network and multi-scale dense feature fusion
  • Image defogging method based on adversarial network and multi-scale dense feature fusion
  • Image defogging method based on adversarial network and multi-scale dense feature fusion

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[0056] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention.

[0057] In describing the present invention, it should be understood that the terms "upper", "lower", "front", "rear", "left", "right", "top", "bottom", "inner", " The orientation or positional relationship indicated by "outside", etc. is based on the orientation or positional relationship shown in the drawings, and is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the referred device or element must have a specific orientation, so as to Specific orientation configurations and operations, therefore, are not to be construed as limitations on the invention.

[0058] refer to Figure ...

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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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Application Information

Patent Timeline
11 Jun 2021
Publication
CN112950498A
IPC
G06T5/00; G06K9/62; G06N3/04
CPC
G06N3/045; G06F18/253; G06T5/73
Inventors
万超颖