A method for enhancing detection of space targets in a strong light background
By employing optical attenuation and diffusion model enhancement methods, combined with multi-scale pyramid structures and DDIM sampling, the problem of clear detection and identification of spatial targets in strong light environments was solved, achieving the restoration of target details and improvement of image quality.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CENT SOUTH UNIV
- Filing Date
- 2026-03-08
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies struggle to achieve clear detection and accurate identification of spatial targets in strong light environments. Hardware parameter optimization results in insufficient image brightness, ordinary optical filtering schemes excessively attenuate target reflected light, and single image processing algorithms cannot recover detailed features.
By creating low-light conditions through optical attenuation, and combining this with an image enhancement method based on a trained diffusion model, image restoration and enhancement are performed. Furthermore, the DDIM sampling algorithm is used for reverse diffusion processing in a multi-scale pyramid structure, thus integrating denoising and enhancement tasks.
It effectively suppresses background interference, restores target details, improves image quality, achieves stable and accurate detection and recognition of spatial targets, simplifies the processing flow, and improves processing speed and stability.
Smart Images
Figure CN122415404A_ABST