A method and system for restoring degraded infrared images

By constructing different types of degraded images and training a super-resolution processing model, the problem of poor infrared image restoration under severe weather conditions was solved, achieving high-quality restoration and enhanced model stability, making it suitable for edge deployment.

CN122089608APending Publication Date: 2026-05-26WUHAN GUIDE SENSMART TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
WUHAN GUIDE SENSMART TECH CO LTD
Filing Date
2025-12-18
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

Existing technologies are not effective in restoring infrared images under adverse weather conditions, especially in rain, snow, fog, and strong winds, where image quality deteriorates. Furthermore, existing models require a large amount of computation and are not suitable for edge deployment.

Method used

By constructing different types of degraded images and combining them with super-resolution processing models for targeted training, various image degradation factors, including atmospheric scattering, turbulence, and infrared sensor noise, are simulated, thereby improving the robustness and stability of the model.

Benefits of technology

Achieving high-quality infrared image restoration under diverse weather conditions enhances the model's robustness and computational efficiency, making it suitable for edge deployment.

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Abstract

The application provides a degenerated infrared image restoration method and system, which comprises the following steps: applying an image degradation factor corresponding to an image degradation mechanism and adapted to each infrared image in an infrared image sample to construct different types of degraded images based on different image degradation mechanisms; training a super-resolution processing model based on at least one type of degraded image to obtain a degenerated infrared image restoration model; inputting a current infrared image with the image degradation factor into the degenerated infrared image restoration model to perform image restoration processing on the current infrared image by the degenerated infrared image restoration model. The application corresponds to obtain different types of degraded images by multiple modeling methods, and further trains the super-resolution processing model by the combination of different types of degraded images to restore the infrared image acquired under diversified meteorological environments with high quality.
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