Wireless video surveillance image enhancement method for complex lighting conditions
By performing grayscale histogram analysis and particle filter prediction on wireless video surveillance images, an illumination weight field is constructed for adaptive brightness correction and texture enhancement. This solves the overexposure and shadow problems of wireless video surveillance images under complex lighting conditions, and achieves image stability and consistency enhancement.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- BEIJING ZHONGCHENG TIANQI TECH CO LTD
- Filing Date
- 2026-04-24
- Publication Date
- 2026-07-17
AI Technical Summary
Wireless video surveillance images suffer from overexposure in localized areas and insufficient brightness in shadowed areas under complex lighting conditions, resulting in poor image enhancement. This is especially true in underground parking garages where vehicle headlights sweep across the screen, and traditional methods cannot effectively address image quality issues caused by changes in lighting.
By analyzing the grayscale histogram of a continuous video frame sequence, highlight areas are identified and vehicle headlights are distinguished from fixed light sources. The particle filter algorithm is used to predict the headlight status, and an illumination weight field is constructed for brightness correction and texture enhancement. Combined with optical flow and region growing detection, adaptive image enhancement processing is achieved.
It effectively improves the targeting and accuracy of image enhancement, ensuring the restoration of details in overexposed areas, the equalization of brightness in dark areas, the elimination of artifacts, the output of clear monitoring images, and the adaptation to changes in lighting, thereby improving the overall image quality.
Smart Images
Figure CN122415401A_ABST