Chinese scholars have made progress in the research of atmospheric turbulence effect imaging degradation mechanism and degradation suppression

Atmospheric turbulence effects are widely present in daily life and industrial production
.

In response to this problem, Professor Bai Xiangzhi’s team conducted semi-physical simulations based on the imaging degradation mechanism of atmospheric turbulence effects, and proposed a reverse reasoning method based on generative countermeasure networks (TSR-WGAN), which suppressed the blurring effect caused by light fluctuations (Figure 2( a)), alleviating the continuous geometric distortion and jitter in the time domain caused by the change of the optical path (Figure 2(b))
.

Figure 1 Schematic diagram of the physical process of image degradation under the effect of atmospheric turbulence

Figure 2 (a) TSR-WGAN improves the effect of image blurring
.

Figure 3 The subjective imaging quality normalized evaluation index results calculated based on the Bradley-Terry model, TSR-WGAN is significantly higher than the comparison method