High image quality is crucial for cell experiments in space， as it requires the ability of remotely monitoring to grasp the progress and direction of experiments. However， due to space limitations and environmental factors， imaging equipment is strongly constrained in some performance， which directly affects the imaging quality and observation of cultivated targets. Moreover， experimental analysis on the ground requires tasks such as feature extraction and cell counting， but uneven lighting can seriously affect computer processing. Therefore， a method called STAR-ADF is proposed， and experimental results show that the proposed method can effectively remove noise， equalize illumination， and increase the enhancement evaluation index by 12.5% in comparison with original figures， which has certain robustness.