Abstract: Aiming at the current situation where most of turbulence suppression algorithms cannot meet the restoration requirements in complex motion scenes， a fast high⁃definition video turbulence suppression technology applicable to motion scenes and moving targets was proposed. Firstly， a multi⁃level search matching method based on grayscale projection was used to achieve fast scene registration. Then， by combining structural consistency and clarity judgment， the adaptive fusion of moving targets and backgrounds was achieved， achieving the removal of turbulence distortion and the preservation of moving regions. Finally， a spatial domain restoration method based on gradient Gaussian distribution prior was adopted to transform complex frequency domain restoration problems into simple spatial filtering， improving image clarity while reducing computational complexity. Experimental results showed that both quantitative indicators and direct visual perception results had significant advantages over similar methods， and had low computational complexity， making them promising for embedded applications.