Background Suppression Method of Star Image Based on Improved CBDNet

Abstract

The images collected by CCD devices have the characteristics of low SNR (Signal-to-Noise Ratio) and complex background. In order to reduce the difficulty of target extraction, this paper uses real star images to train a background suppression network based on CBDNet [1], a denoising network structure. The experimental result shows that the network can effectively suppress the background and improve the SNR of the star points while retaining the detailed information of the star points.