Anti-overexposure image processing method and system under strong light based on high dynamic range

By adopting high dynamic range (HDR) image processing methods in extremely low-light full-color night vision instruments, including multi-frame fusion, tone mapping, local adjustment and color correction, the overexposure problem in strong light environments is solved and the image quality is significantly improved.

CN119729229APending Publication Date: 2025-03-28LIUZHOU ZHIYE SCI & TECH +1
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Patent Information

Application Number
CN202411727185.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-28
Publication Date
2025-03-28

AI Technical Summary

Technical Problem

In strong light environments, extremely low light full color night vision devices are prone to overexposure problems, resulting in a decline in image quality, and the existing technology is difficult to effectively solve this problem.

Method used

High-quality images are generated through steps such as multi-frame fusion, tone mapping, local adjustment and color correction. Specific steps include: multi-frame fusion to acquire images of different exposures through extremely low-light full-color night vision instruments, and fuse them at the pixel level to generate high dynamic range images; tone mapping maps high dynamic range images to low dynamic range devices, adjusting brightness and contrast; local adjustments identifying and reducing the brightness of overexposure areas, maintaining the original brightness and contrast of other areas; color correction improves image contrast and details by dynamically adjusting the histogram equalization parameters.

Benefits of technology

It effectively solves the overexposure problem of extremely low-light full-color night vision instruments in strong light environments, significantly improves image quality and adaptability, and ensures high-quality image output under different lighting conditions.

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Abstract

The invention relates to the technical field of image shooting and processing, and discloses an anti-overexposure image processing method and system under strong light based on a high dynamic range, and the method comprises the steps: collecting a plurality of frames with different exposures for the same scene through an extremely weak light full-color night vision device, carrying out the multi-frame fusion, and generating a high dynamic range image; the method comprises the following steps: mapping an image with a high dynamic range to display equipment with a low dynamic range, and readjusting the brightness and contrast of the image to realize tone mapping; different areas in the image are independently processed, an overexposure area is identified, the brightness of the overexposure area is independently reduced, and the original brightness and contrast of other areas are kept; histogram equalization parameters are dynamically adjusted according to the local brightness distribution of the image, the image contrast and details are improved, and image color correction is achieved. The problem of overexposure of the ultra-weak light full-color night vision device in a strong light environment is solved through a high dynamic range algorithm, and the image quality of the night vision device under different illumination conditions is remarkably improved.
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