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Multi-band image synchronization fusion and enhancement method based on improved wgan-gp

An image synchronization and multi-band technology, applied in image enhancement, image analysis, graphics and image conversion, etc., can solve the problem of loss of details, information and noise, and achieve the effect of clear edges and high definition

Active Publication Date: 2022-04-19
ZHONGBEI UNIV
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Problems solved by technology

Studies have shown that these two methods will lose details or introduce noise

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  • Multi-band image synchronization fusion and enhancement method based on improved wgan-gp
  • Multi-band image synchronization fusion and enhancement method based on improved wgan-gp
  • Multi-band image synchronization fusion and enhancement method based on improved wgan-gp

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Embodiment Construction

[0028] The multi-band image synchronous fusion and enhancement method based on the improved WGAN-GP includes the following steps:

[0029] The first step is to design and build a generative confrontation network: design and build a generative confrontation network structure. The generative confrontation network is divided into two models: a generator and a discriminator.

[0030] The generator network structure consists of three parts: feature extraction (encoding) sub-network, feature combination sub-network and decoding sub-network. The feature extraction (encoding) sub-network is used to extract the features of different band source images, and the feature combination sub-network is used to combine The features of different band source images extracted by the feature extraction sub-network are combined in the high-level feature space, and the decoding sub-network converts the feature map obtained by combining the feature combination sub-network into the final fusion image, a...

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Abstract

The present invention relates to a multi-band image synchronous fusion and enhancement method, that is, synchronously realize multi-band image fusion and image super-resolution, specifically a multi-band image synchronous fusion and enhancement method based on improved WGAN-GP, the method is carried out according to the following steps: design And build a generative confrontation network. The network structure is composed of three parts: the feature extraction (encoding) network, the feature combination network and the decoding network. A generative model is obtained through the dynamic balance training of the generator and the discriminator and the fusion enhancement result is obtained. The invention realizes end-to-end synchronous fusion of multi-band images and enhanced neural network, so that low-resolution source images can be fused to produce high-quality fusion results.

Description

technical field [0001] The invention relates to a multi-band image synchronous fusion and enhancement method, that is, a network model is used to simultaneously realize multi-band image fusion and image super-resolution, specifically a multi-band image synchronous fusion and enhancement method based on improved WGAN-GP. Background technique [0002] Multi-band image fusion aims to combine complementary information in different band images of the same scene into a more informative and comprehensive image for subsequent target extraction and decision making. In recent years, image fusion technology has developed rapidly, and many effective fusion methods have been proposed one after another. However, due to the limitations of imaging sensors and signal transmission bandwidth, the resolution of most source images is limited, resulting in a large part of the collected infrared and visible light images being unavailable. Not high resolution. For low-resolution source images, alt...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/50G06T3/40G06K9/62G06N3/04G06N3/08
CPCG06T5/50G06T3/4053G06N3/08G06T2207/20221G06N3/045G06F18/25
Inventor 李大威田嵩旺蔺素珍杨博张海松
Owner ZHONGBEI UNIV
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