Night scene restoration method based on improved image enhancement algorithm and generative adversarial network

An image enhancement, image technology, applied in image enhancement, biological neural network model, image data processing and other directions, can solve problems such as difficult to find enemies, achieve the effect of relieving the pressure of network training, improving quality, and solving overexposure

Inactive Publication Date: 2021-04-16
SICHUAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Assuming the enemy has evaded radar detection, it is difficult to...

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  • Night scene restoration method based on improved image enhancement algorithm and generative adversarial network
  • Night scene restoration method based on improved image enhancement algorithm and generative adversarial network
  • Night scene restoration method based on improved image enhancement algorithm and generative adversarial network

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Embodiment Construction

[0079] Embodiments of the present invention will be further described below in conjunction with the accompanying drawings.

[0080] Such as figure 1 As shown, the present invention provides a night scene restoration method based on an improved image enhancement algorithm and a generation confrontation network, comprising the following steps:

[0081] S1: Collect nighttime images, and use the MSRCP algorithm to enhance the nighttime images;

[0082] S2: Determine whether the enhanced night image needs style transfer, if so, go to step S3, otherwise go to step S4;

[0083] S3: Train the unpaired image translation neural network of the night image area, use the enhanced night image as the night domain input of the training set, perform style transfer, and proceed to step S4;

[0084] S4: Perform dark channel prior defogging and sharpness processing on the enhanced nighttime image in turn to complete night scene restoration.

[0085] In the embodiment of the present invention, ...

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Abstract

The invention discloses a night scene restoration method based on an improved image enhancement algorithm and a generative adversarial network, and the method comprises the following steps: S1, collecting a night image, and carrying out the enhancement of the night image through an MSRCP algorithm; S2, judging whether style migration needs to be carried out on the night image after enhancement processing or not: if yes, entering the step S3, and otherwise, entering the step S4; S3, performing style migration, and executing the step S4; S4, carrying out dark channel prior defogging and definition processing on the night image after enhancement processing in sequence to complete night scene restoration. The night scene restoration method is suitable for the fields of security and protection monitoring and regional night view finding, the training set is easy to collect and train, the generalization requirement for the model is not high, the method is particularly excellent in experiments of a single style region, and the method has very high practicability and feasibility.

Description

technical field [0001] The invention belongs to the technical field of image processing and machine vision, and in particular relates to a night scene restoration method based on an improved image enhancement algorithm and a generative confrontation network. Background technique [0002] With the development of society and economy, human nocturnal activities have become more and more abundant. Humans and many other creatures have an innate fear of the dark night. Because we have poor eyesight in the dark and cannot observe the surrounding situation well, we are weak in defense. In modern society, many activities and researches of people are difficult to carry out due to sight, night photography effects and other reasons. Wars, army marches and sneak attacks mostly take place at night, and criminals mostly choose to carry out illegal activities under the protection of night. . At night, the cells that dominate night vision in humans are significantly less sensitive to colo...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06N3/04
Inventor 李昊伶朱锐徐天怡殷嫦藜吴林芮
Owner SICHUAN UNIV
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