Surveillance Video Defogging Algorithm Optimized by Background Extraction

To reduce the flicker artifacts caused by video defogging, a surveillance video defogging algorithm based on the background extraction and consistent constraints is proposed. First, an inter frame consistency constraint is constructed and applied to background modeling. Second, the extracted background is defogged with an improved static defogging approach. Third, the foreground is extracted using the extracted background and further defogged using constraints of the consistency between the foreground and background. Experimental results show that our algorithm can remove fog effectively and preserve the temporal coherence well.